피지컬 AI의 세계를 읽다
국가·클러스터 40개 순위와 기업·인물·기관 350개 선정. 항목별 선정 근거와 출처를 함께 확인합니다.
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390개 항목
United States country:01순위 1
기여 · 영문 원문
Robotics platforms, customer deployment and growth capital
선정 근거 · 영문 원문
The United States brings general-purpose models and robotics platforms into named customer tasks, supported by growth capital and operating records.
근거 범위
IFR 2025 installation data, operating and customer records, technical platforms, completed financing and operating permissions.
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China country:02순위 2
기여 · 영문 원문
Robot hardware and integrated manufacturing networks
선정 근거 · 영문 원문
China combines sensing, robot hardware and electronics manufacturing with product development and dense supply chains. Industrial-robot demand supports this manufacturing base.
근거 범위
IFR 2025 industrial-robot installations and domestic supplier share; manufacturer and customer records; research, financing, testing and shared development infrastructure.
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South Korea country:03순위 3
기여 · 영문 원문
Robot coordination, learned control and research commercialization
선정 근거 · 영문 원문
Korea combines research investment with NAVER's cloud-based robot coordination, KAIST's learned locomotion control and university-led robotics commercialization.
근거 범위
NAVER's internal operations; KAIST's July 2026 HOUND experiments and February 2026 report on technology-transfer and investment activity. The March 2026 testbed demonstration and planned external access retain separate stages. Economy-wide research indicators provide context.
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Japan country:04순위 4
기여 · 영문 원문
Perception and motion planning in factory processes
선정 근거 · 영문 원문
Japan brings perception and motion generation into established manufacturing processes, building on robotics and precision-control capabilities.
근거 범위
JARA calendar-2025 production and shipments, IFR installations, robot-control and customer records. JARA includes dedicated manipulators; production and installation measures retain separate definitions.
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Germany country:05순위 5
기여 · 영문 원문
Industrial manipulation, integration and testing
선정 근거 · 영문 원문
Germany brings industrial customers, intelligent integration providers and external testing and approval into the same deployment pathway.
근거 범위
Manufacturing demand, customer-process integration, industrial fleets and testing services. Overseas customer installations retain their operating locations.
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United Kingdom country:06순위 6
기여 · 영문 원문
On-device robotics models and dexterous learning
선정 근거 · 영문 원문
The United Kingdom develops local robotics models and robot-learning hands through documented joint development.
근거 범위
Driving trials, DEX-EE and DemoStart research, model development, financing and reusable tools. Joint international research retains shared attribution.
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Switzerland country:07순위 7
기여 · 영문 원문
Learned control for industrial inspection
선정 근거 · 영문 원문
Switzerland’s ANYmal brings learned control into industrial inspection workflows.
근거 범위
Learned inspection and locomotion, research-to-product transfer, institutional and financial context, with development and customer sites separately attributed.
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France country:08순위 8
기여 · 영문 원문
Open robot-learning tools and manipulation models
선정 근거 · 영문 원문
France provides open robot-learning tools and develops general-purpose manipulation models alongside hardware integrations.
근거 범위
Warehouse implementations, robot-learning tools, manufacturing integration, financing and testing access. Joint French-US development retains shared attribution.
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Canada country:09순위 9
기여 · 영문 원문
Manipulation learning and autonomous-truck integration
선정 근거 · 영문 원문
Canada develops physical manipulation learning, industrial tools and truck-OEM integration through distinct product pathways.
근거 범위
Industrial robot suppliers, shared research assets and supervised freight development. Waterloo and Toronto activity retain separate locations.
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Taiwan country:10순위 10
기여 · 영문 원문
Semiconductor fabrication, packaging and robotics infrastructure
선정 근거 · 영문 원문
Taiwan combines semiconductor fabrication and packaging with R&D, robotics investment and industrial testing infrastructure.
근거 범위
NSTC 2024 R&D expenditure; TSMC fabrication and packaging; electronics and robotics records; ITRI testing and incubation infrastructure.
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Denmark country:11순위 11
기여 · 영문 원문
Mobile logistics and collaborative-robot platforms
선정 근거 · 영문 원문
Denmark supplies AMRs for transport and collaborative robots for AI greenhouse harvesting, with named customer tasks.
근거 범위
UR and MiR platform supply, Odense development infrastructure, DTI incubation and Danish industry records. National turnover and local cluster activity retain separate scopes.
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Sweden country:12순위 12
기여 · 영문 원문
Industry-linked robotics research and doctoral training
선정 근거 · 영문 원문
Sweden connects robotics research and industrial tasks through WARA Robotics and WASP doctoral training, alongside ABB development, ISO standards work and Hexagon's humanoid programme.
근거 범위
WARA's December 2024 industry-linked challenge and WASP's May 2026 graduate statistic; domestic ABB development and multinational Hexagon activity retain their locations. The new ABB campus is scheduled for 2027.
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Singapore country:13순위 13
기여 · 영문 원문
Local integration for power-tunnel inspection
선정 근거 · 영문 원문
Singapore brings foreign robot hardware into power-tunnel inspection through local integration and operation.
근거 범위
Power-tunnel inspection, retail integration, local operators, research and institutional context; country and cluster profiles cross-reference shared events.
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Netherlands country:14순위 14
기여 · 영문 원문
Warehouse integration and automation finance
선정 근거 · 영문 원문
The Netherlands combines a documented warehouse-automation installation with an automation-finance role serving an overseas site.
근거 범위
ASML equipment and R&D, domestic warehouse integration, testing services and separately located overseas automation finance.
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Israel country:15순위 15
기여 · 영문 원문
Manipulation development and national AI computing
선정 근거 · 영문 원문
Israel develops observation-based physical manipulation and driver-assistance technology, supported by research investment and national AI computing access for academia and industry.
근거 범위
Manipulation development, eyes-on SuperVision assistance and acquisition records. January 2026 national computing infrastructure is operational; accelerator allocations extend over subsequent years.
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Australia country:16순위 16
기여 · 영문 원문
Autonomous mining and construction field trials
선정 근거 · 영문 원문
Australia hosts autonomous construction at a solar site and shared physical testing by public research teams.
근거 범위
Komatsu's September 2025 Australian operating fleet, Rio Tinto Pilbara rail and drilling, and a separately staged construction pilot.
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Italy country:17순위 17
기여 · 영문 원문
Industrial integration and warehouse validation
선정 근거 · 영문 원문
Italy’s industrial robotics integration extends into Comau’s AI-enabled warehouse testing and validation for the European MASTERLY project.
근거 범위
IFR manufacturing installations, Italian automation supply and European testing infrastructure. Comau reported Decathlon warehouse validation on 9 September 2026; the customer warehouse location is not established by that release.
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Spain country:18순위 18
기여 · 영문 원문
Robotics engineering and AI inspection development
선정 근거 · 영문 원문
Spain hosts Barcelona robotics-platform development and an AI inspection development site.
근거 범위
Barcelona robot engineering, manufacturing robot demand, customer integration and shared European testing resources.
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Norway country:19순위 19
기여 · 영문 원문
Humanoid engineering and manufacturing development
선정 근거 · 영문 원문
1X’s April 2024 announcement describes development of a Moss, Norway facility linking engineering, actuator manufacture, robot assembly and testing.
근거 범위
Company-reported manufacturing development in Moss, Norway, announced 2 April 2024. The cited announcement does not establish completion or current operating capacity.
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United Arab Emirates country:20순위 20
기여 · 영문 원문
Adoption and operation of autonomous passenger services
선정 근거 · 영문 원문
The UAE brings external autonomous-driving technology into local transport services. Dubai passenger-operation records support its adoption and operations role.
근거 범위
Dubai RTA’s passenger-service report dated 19 August 2026. Operational figures relate to the service period stated in that report; announced expansion and the 2030 transport target remain prospective.
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Pearl River Delta Core — Shenzhen–Dongguan cluster:01순위 1
기여 · 영문 원문
Robot engineering, incubation and manufacturing access
선정 근거 · 영문 원문
Shenzhen and Dongguan connect sensor and robot development with engineering education, prototyping facilities and manufacturing access. XbotPark's university and startup programmes link talent development to product engineering.
근거 범위
Located development and incubation in Shenzhen and Dongguan; named XbotPark startup outcomes and HKUST's April 2026 educational visit. Shenzhen's 2024 academy incubation total covers hardware entrepreneurship. Overseas customers and Hong Kong educational origins retain their locations.
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San Francisco Bay Area cluster:02순위 2
기여 · 영문 원문
Robotics platforms, learning research and shared facilities
선정 근거 · 영문 원문
The Bay Area combines model and robotics-platform development with Berkeley's robot-learning education and Stanford's shared physical research facilities. Reusable software and product companies connect research to physical systems.
근거 범위
Development across San Francisco, San Mateo, Santa Clara and Alameda counties; Berkeley's Spring 2026 course and Stanford Robotics Center's physical research bays. Global platform adoption and site-specific operations retain separate geographic scopes.
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Yangtze River Delta Core — Shanghai–Hangzhou–Suzhou cluster:03순위 3
기여 · 영문 원문
Training infrastructure, robot products and physical research
선정 근거 · 영문 원문
The cluster brings Shanghai’s training infrastructure and Hangzhou’s robots and physical-system research into one analytical region, tracing research into product development.
근거 범위
The analytical region covers Shanghai, Hangzhou and Suzhou. Cited robot manufacture, R&D, training and product development are located in Shanghai and Hangzhou; customer sites retain their locations.
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Beijing Region cluster:04순위 4
기여 · 영문 원문
Robot learning, driving trials and growth funding
선정 근거 · 영문 원문
Beijing brings robot-learning resources, developers, district-level driving trials and growth funding into the same regional network.
근거 범위
Located developers, research, driving and delivery activity in Beijing municipality, with operating supervision and external customer locations separately recorded.
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Seoul Capital Area cluster:05순위 5
기여 · 영문 원문
Building deliveries, robot development and capital access
선정 근거 · 영문 원문
The Seoul Capital Area connects research and manufacturing demand with internal building deliveries and capital-market access.
근거 범위
Seoul, Incheon and Gyeonggi research and development; distinct activities at NAVER 1784 in Seongnam, ROBOTIS in Magok and Doosan in Suwon.
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Boston Region cluster:06순위 6
기여 · 영문 원문
Hardware startups and shared robotics experimentation
선정 근거 · 영문 원문
Greater Boston combines robot research, hardware companies and shared experimental space, with documented links to customer logistics.
근거 범위
Greater Boston product development, research and shared experimentation linked to external customer operations; customer sites retain their locations.
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Pittsburgh Region cluster:07순위 7
기여 · 영문 원문
Research transfer and manufacturing demonstrations
선정 근거 · 영문 원문
Pittsburgh translates research into company technology transfer and manufacturing demonstrations.
근거 범위
Pittsburgh and Allegheny County research, industrial product development, customer-pilot connections and shared manufacturing resources.
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Munich Region cluster:08순위 8
기여 · 영문 원문
Industrial logistics integration and growth financing
선정 근거 · 영문 원문
Munich’s robotics integration companies develop business around industrial customer logistics and growth financing.
근거 범위
Munich city and Landkreis product, integration, research and financing activity; customer plants outside the region retain their locations.
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Tokyo–Yokohama Core cluster:09순위 9
기여 · 영문 원문
Robot control, integration and testing access
선정 근거 · 영문 원문
The Tokyo-centered region brings control and robotics companies together with capital and testing access.
근거 범위
Tokyo-centered control, integration and research within the Tokyo-Yokohama-Kawasaki analytical region. Manufacturing and customer events retain their documented city locations.
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Stuttgart Region cluster:10순위 10
기여 · 영문 원문
AI manipulation and automotive testing infrastructure
선정 근거 · 영문 원문
Stuttgart brings manufacturing and logistics customers together with AI manipulation and automotive testing requirements.
근거 범위
Region Stuttgart development and shared industrial testing, including Fraunhofer IPA, University of Stuttgart and ARENA2036 facilities; partner facilities retain their own locations.
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Zurich Region cluster:11순위 11
기여 · 영문 원문
Learned inspection control and research commercialization
선정 근거 · 영문 원문
Zurich’s product-development network includes learned control for industrial inspection robots and customer workflows.
근거 범위
Located product development and research-commercialization links, with external inspection sites separately attributed.
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Singapore cluster:12순위 12
기여 · 영문 원문
Robot integration for customer infrastructure
선정 근거 · 영문 원문
Singapore integrates foreign robots into customer infrastructure, with local inspection and operating responsibility.
근거 범위
Located tunnel and retail integration, operator training and research resources; shared country and cluster events are cross-referenced.
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Odense cluster:13순위 13
기여 · 영문 원문
Mobile and collaborative-robot development
선정 근거 · 영문 원문
Odense provides shared supply and development sites for mobile and collaborative robots.
근거 범위
UR-MiR development infrastructure and DTI equipment, mentoring and incubation in Odense. National industry totals and customer operations retain separate scopes.
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Seattle Region cluster:14순위 14
기여 · 영문 원문
Logistics adopters, drone engineering and robot-data tools
선정 근거 · 영문 원문
Seattle’s corporate and development network includes large logistics adopters and robot operating-data tools.
근거 범위
Located drone engineering and manufacture, robot-data work and university research. BRINC's human-piloted missions and Amazon's external operating sites retain their respective attribution.
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Aichi Manufacturing Region cluster:15순위 15
기여 · 영문 원문
Manufacturing development and robot testing facilities
선정 근거 · 영문 원문
Aichi provides robot testing and support facilities serving manufacturing development.
근거 범위
DENSO WAVE development and manufacture in Agui; Toyota City research and technology transfer. Toyota Motor East Japan customer production retains its external location.
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London Core — Cambridge Research and Startup Lineage cluster:16순위 16
기여 · 영문 원문
Action models, robot learning and driving development
선정 근거 · 영문 원문
London develops action models, robot learning and vehicle systems toward physical products, with Cambridge represented through its research and founding lineage.
근거 범위
Greater London development and supervised driving trials; joint dexterity research, reusable tools and completed financing. Cambridge retains its distinct lineage role.
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Waterloo Core cluster:17순위 17
기여 · 영문 원문
Industrial AMRs, automation integration and services
선정 근거 · 영문 원문
The Waterloo core brings industrial AMR products into large-scale automation integration and services.
근거 범위
Kitchener-Waterloo-Cambridge supplier and research ecosystem, including ATS, OTTO, Avidbots, Deep Trekker, RoboHub and SMART Centre.
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Daejeon Core — Sejong–Osong Transport Links cluster:18순위 18
기여 · 영문 원문
Research platforms, technology transfer and demonstration labs
선정 근거 · 영문 원문
Daejeon combines research platforms, technology transfer and robot startups with a physical AI demonstration lab.
근거 범위
Located KAIST and ETRI research, planning and fleet-management transfer. Sejong and Osong retain their transport-link roles and site-specific attribution.
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Pohang Industrial Robotics and Manufacturing Research Region cluster:19순위 19
기여 · 영문 원문
Robot manufacture and steel-industry development
선정 근거 · 영문 원문
Pohang brings a robotics-company site together with a steel customer’s joint laboratory for manufacturing-oriented development.
근거 범위
January 2026 photographed factory visit: Indy and OPTi assembly, actuator and motor production, calibration, aging and precision checks. Located learning-data hardware development and POSTECH research remain separately staged.
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Austin Region cluster:20순위 20
기여 · 영문 원문
Humanoid development, customer trials and growth capital
선정 근거 · 영문 원문
Austin-based Apptronik develops Apollo through Mercedes customer trials and growth financing. The customer trials took place in Germany.
근거 범위
Austin MSA robot development and completed financing linked to Apptronik's Mercedes customer trials in Germany; training and production operation retain their distinct stages.
출처
42dot C001Current 100
기여 · 영문 원문
Ride requests and reservations
선정 근거 · 영문 원문
TAP handles ride requests and reservations for the Cheonggyecheon autonomous bus. Government service records describe its platform role alongside 42dot’s technical materials.
근거 범위
2022–2024 TAP service records and platform role; current model technology is documented separately.
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AgiBot C002Current 100
기여 · 영문 원문
Production-line robot deployment
선정 근거 · 영문 원문
AgiBot G2 was deployed on Longcheer’s tablet production line, as described in the customer’s account of its production process.
근거 범위
Customer and supplier announcements; operating figures are company-reported, and the Q3 figure of 100 robots is a plan.
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Agile Robots C003Current 100
기여 · 영문 원문
Logistics automation integration
선정 근거 · 영문 원문
Agile Robots brought idealworks into its group through an acquisition, combining robotics development with BMW logistics automation.
근거 범위
Acquisition announcement and BMW logistics application records; subsidiary contributions are recorded at group level.
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Agility Robotics C004Current 100
기여 · 영문 원문
Tote transfers
선정 근거 · 영문 원문
Digit transfers totes to a conveyor at GXO’s SPANX distribution center. GXO announced the deployment and a multiyear service agreement in 2024.
근거 범위
GXO customer announcement, June 2024: task, deployment and RaaS contract; the robot version in photographs requires separate identification.
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AIDIN Robotics N099Current 100
기여 · 영문 원문
Force-sensing components
선정 근거 · 영문 원문
AIDIN supplies AFT200 force/torque sensing used in demonstration capture and physical Franka manipulation research.
근거 범위
ManipForce v1, III-A and IV-A.2: sensor integration in capture and physical robot execution.
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Amazon C005Current 100
기여 · 영문 원문
Fulfillment adoption
선정 근거 · 영문 원문
Amazon deploys, tests and expands robotics within its order-fulfillment operations, acting as the customer responsible for logistics tasks.
근거 범위
Amazon’s account of deployment in operations facilities; company financials cover the whole business.
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Ambi Robotics C006Current 100
기여 · 영문 원문
Logistics sorting
선정 근거 · 영문 원문
AmbiSort applies Sim2Real technology to logistics sorting. Pitney Bowes describes using the system in customer statements published with the product materials.
근거 범위
AmbiSort product documentation and supplier-published Pitney Bowes statements cover existing use and expansion contracts.
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AMP Robotics / AMP C007Current 100
기여 · 영문 원문
Material sorting
선정 근거 · 영문 원문
AMP installed and operated neural-network-based material sorting at the Portsmouth facility. Its facility case includes a customer manager’s account of the work.
근거 범위
Supplier facility case and 2025 acquisition announcement; facility throughput and robot-arm performance have distinct scopes.
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ANYbotics C008Current 100
기여 · 영문 원문
Industrial inspection
선정 근거 · 영문 원문
ANYmal applies learned control to industrial inspection. ANYbotics describes customer operations using the robots.
근거 범위
Company account of industrial inspection operations; customer counts, reliability and payback figures are company-reported.
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Applied Intuition C009Current 100
기여 · 영문 원문
Vehicle simulation and testing
선정 근거 · 영문 원문
Applied Intuition supplies vehicle simulation and testing software. TRATON confirms their existing collaboration on development tools.
근거 범위
TRATON customer announcement covering five years of tool collaboration; deployment of the new vehicle OS is planned.
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Autonomous a2z C010Current 100
기여 · 영문 원문
Supervised passenger shuttle
선정 근거 · 영문 원문
Autonomous a2z’s ROii carried passengers on the Cheonggye A01 shuttle. Seoul’s trial-service notice and a passenger account describe supervised operation.
근거 범위
Seoul trial-service notice and passenger observations; an onboard supervisor can intervene manually.
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Baidu C011Current 100
기여 · 영문 원문
Driverless passenger service
선정 근거 · 영문 원문
Baidu reports driverless ride activity through Apollo Go. Its contribution is autonomous passenger-service operation.
근거 범위
Issuer operating disclosures; ride counts have a different scope from paid orders, revenue and profitability.
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Bedrock Robotics C012Current 100
기여 · 영문 원문
Autonomous excavation
선정 근거 · 영문 원문
Bedrock retrofits excavators for autonomous digging at named infrastructure customers including Sundt. Its announcement describes sensing, learned models and operation beyond the supervised trial stage.
근거 범위
Bedrock’s deployment announcement describes autonomous digging within supervisor-defined work plans and permitted areas.
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Berkshire Grey C013Current 100
기여 · 영문 원문
Parcel sorting
선정 근거 · 영문 원문
Berkshire Grey supplies RPSi parcel sorting at FedEx facilities. FedEx describes existing installations and everyday sorting work.
근거 범위
FedEx’s 2022 installation account; later purchase plans and warrant conditions are separate events.
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BlackRock C101Current 100
기여 · 영문 원문
Robotics investment funds
선정 근거 · 영문 원문
BlackRock operates RBOT as an investment route into listed robotics and automation companies.
근거 범위
RBOT fund operation, portfolio holdings and assets under management.
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Booster Robotics C015Current 100
기여 · 영문 원문
Research and competition robots
선정 근거 · 영문 원문
Booster supplies K1 and T1 robots used by the HTWK team in research and RoboCup. Team documents describe competition operation and a learned kick executed on T1.
근거 범위
Team documents and joint research; team learning and firmware contributions retain their own attribution.
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Boston Dynamics C016Current 100
기여 · 영문 원문
Trailer unloading
선정 근거 · 영문 원문
Boston Dynamics supplies robots for commercial trailer unloading at customer sites.
근거 범위
Customer unloading records; the additional commitment of more than 1,000 robots is an MOU, while Atlas development is a separate activity.
출처
Brain Corp C017Current 100
기여 · 영문 원문
Cleaning autonomy
선정 근거 · 영문 원문
Brain Corp provides route-learning autonomy for cleaning machines used at Walmart.
근거 범위
Existing customer-use records; the figure of 360 additional machines was a deployment plan.
출처
Built Robotics C018Current 100
기여 · 영문 원문
Autonomous solar construction
선정 근거 · 영문 원문
Built Robotics completed autonomous solar pile installation with its Gen1 system at a named EPC site.
근거 범위
Project report published through a public agency; evidence concerns the Gen1 deployment and its defined construction task.
출처
Burro C019Current 100
기여 · 영문 원문
Farm transport
선정 근거 · 영문 원문
Burro provides autonomous transport at Sierra Gold. A named operations manager describes workers using the robots in nursery tasks.
근거 범위
Burro publishes Sierra Gold’s account of workers using the robots for nursery transport.
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Carbon Robotics C020Current 100
기여 · 영문 원문
Laser weeding
선정 근거 · 영문 원문
Carbon Robotics uses plant recognition to guide LaserWeeder’s laser weeding. Named farms describe using the equipment.
근거 범위
Supplier-published customer testimony; savings and yield effects lack independent verification.
출처
CATL C021Current 100
기여 · 영문 원문
Manufacturing adoption and batteries
선정 근거 · 영문 원문
CATL describes deploying Galbot S1 on module and battery-pack production lines. Its contribution combines customer adoption with battery supply for robotics.
근거 범위
CATL's announcement describes the system and reports eight-hour operation and battery failure specifications.
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Cognex C022Current 100
기여 · 영문 원문
Industrial inspection vision
선정 근거 · 영문 원문
Cognex supplies neural-network-based vision for industrial inspection. Its filings document a perception role within production processes.
근거 범위
Industrial-vision filings. Financial figures cover consolidated GAAP results for FY2025, ending 2025-12-31, in USD millions; machine vision includes rule-based systems and barcode products.
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Corvus Robotics C023Current 100
기여 · 영문 원문
Inventory drones
선정 근거 · 영문 원문
Corvus supplies inventory drones used at multiple MSI Surfaces warehouse sites.
근거 범위
Supplier account of named-customer use; accuracy and return-on-investment claims are company-reported. MSI Surfaces is the customer.
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Coupang C024Current 100
기여 · 영문 원문
Fulfillment operations
선정 근거 · 영문 원문
Coupang uses people and robots together in fulfillment operations. It represents the customer’s role in deploying automation for order handling.
근거 범위
Operator accounts; overall infrastructure investment has a wider scope than robot purchases, and time-saving figures are party-reported.
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Covariant C025Current 100
기여 · 영문 원문
Learned picking
선정 근거 · 영문 원문
Covariant Brain supports everyday learned picking and sorting at Radial’s TradePort2 facility in Louisville.
근거 범위
Radial’s 2023 customer announcement; throughput and SKU coverage are customer-reported, while later expansion plans are separate.
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DeepRobotics C026Current 100
기여 · 영문 원문
Tunnel inspection hardware
선정 근거 · 영문 원문
DEEP Robotics provides the X30 platform behind SPock power-tunnel patrols. SP Group’s operating account and the integrator’s hardware description identify the customer task and platform.
근거 범위
Customer patrol records and integrator description; feature versions are specific to each deployment.
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Dexterity C029Current 100
기여 · 영문 원문
Trailer loading
선정 근거 · 영문 원문
Dexterity supplies trailer-loading robotics at FedEx’s Hagerstown hub. The customer describes deployment beyond a pilot.
근거 범위
Joint customer announcement documenting the loading application.
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Diligent Robotics C030Current 100
기여 · 영문 원문
Hospital deliveries
선정 근거 · 영문 원문
Diligent Robotics’ Moxi handles hospital deliveries. CHLA documents repeated deliveries and use by its hospital teams.
근거 범위
Hospital-use records and supplier material; deliveries support hospital logistics. Serve’s separate delivery business retains separate attribution.
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DJI C104Current 100
기여 · 영문 원문
Aerial infrastructure-inspection supply
선정 근거 · 영문 원문
DJI supplies drones used in China Southern Power Grid's route-based inspection. Its later Dock workflow account documents further vendor-reported inspection use in oil and gas.
근거 범위
DJI's named powerline-inspection case dated 2019-05-08; Dock 3 release dated 2025-02-27; unnamed oil/gas operator workflow account dated 2026-02-20, with some AI integrations at experimental stage.
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Doosan Robotics C105Current 100
기여 · 영문 원문
Supplied manipulation research platform
선정 근거 · 영문 원문
An external Royal IHC project team used Doosan's 1013 arm in a vision-guided welding prototype. Doosan supplied the manipulation platform; the team developed the vision, integration and welding application.
근거 범위
Smart Manufacturing & Robotics Delft project account published 2025-03-16, covering fall 2023: Doosan 1013, RealSense D415, OpenCV detection and TCP motion commands in a constrained welding prototype.
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Dreame Technology C032Current 100
기여 · 영문 원문
Home-cleaning perception
선정 근거 · 영문 원문
Dreame X40 Master performs navigation, obstacle recognition and floor cleaning in a hands-on review that also records recognition errors.
근거 범위
Affiliate-linked product test; Master-specific observations are retained, and borrowed Ultra Complete measurements have separate scope.
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Dyna Robotics C033Current 100
기여 · 영문 원문
Garment folding
선정 근거 · 영문 원문
Dyna Robotics applies robot learning to garment folding at Monster Laundry. The owner describes daily folding work.
근거 범위
Customer quotation; people load and collect garments. Inconsistent time and quantity statements are excluded from performance claims.
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Ecovacs C034Current 100
기여 · 영문 원문
Home cleaning
선정 근거 · 영문 원문
Ecovacs DEEBOT OZMO T8 AIVI was used in a direct test covering vacuuming, navigation and camera sensing.
근거 범위
RTINGS hands-on test of the base T8 AIVI; mopping was untested in that account, and long-term customer statistics are unavailable.
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Elephant Robotics N017Current 100
기여 · 영문 원문
Educational robot kits
선정 근거 · 영문 원문
Elephant Robotics supplies arms and AI kits used in named university teaching and physical student projects.
근거 범위
Undated supplier university cases documenting adopted educational platforms and student-developed tasks.
출처
Farm-ng N020Current 100
기여 · 영문 원문
Agricultural development platforms
선정 근거 · 영문 원문
Farm-ng supplies Amiga as an adopted agricultural education platform in the recurring Farm Robotics Challenge, including CMU's seedling-planting project; university teams retain attachments and task development.
근거 범위
UC ANR account, 2025-05-08: third annual Farm Robotics Challenge, Amiga educational-platform use and CMU's physical seedling-planting project.
출처
Field AI C035Current 100
기여 · 영문 원문
Construction inspection autonomy
선정 근거 · 영문 원문
Field AI provides autonomy for Spot-based inspection at changing construction sites. Its account describes perception, mapping and use by site managers.
근거 범위
Field AI describes a deployment at an unnamed construction customer, covering perception, mapping and inspection.
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Figure AI C036Current 100
기여 · 영문 원문
Humanoid factory pilot
선정 근거 · 영문 원문
Figure 02 handled sheet-metal parts during BMW's extended Spartanburg production pilot.
근거 범위
BMW report, 2026-02-27, pp. 4-5: ten-month pilot with weekday production shifts.
출처
Flexiv C037Current 100
기여 · 영문 원문
Force-controlled food processing
선정 근거 · 영문 원문
Flexiv’s delivered Rizon 4 solution locates fish fillets on a moving conveyor and shapes them using force control.
근거 범위
Supplier case for a specific delivered application; the customer is unnamed and independent acceptance and performance tests are unavailable.
출처
Formic C038Current 100
기여 · 영문 원문
Packaging and palletizing services
선정 근거 · 영문 원문
Formic supplies vision-based packaging and palletizing as a service. Its product account includes customers describing active production use.
근거 범위
Supplier-published customer statements; installed software versions, uptime and commercial terms require deployment-specific evidence.
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ForwardX Robotics C039Current 100
기여 · 영문 원문
Warehouse picking assistance
선정 근거 · 영문 원문
ForwardX Flex assists picking in Li & Fung’s IKEA e-commerce warehouse. Its product materials describe visual perception and movement responses.
근거 범위
Supplier customer case and product-family technical material; performance and feature versions are supplier-reported.
출처
Foxglove C040Current 100
기여 · 영문 원문
Robot-log analysis
선정 근거 · 영문 원문
Foxglove provides development and operating-log tools used by Square Robot for field analysis.
근거 범위
Named-customer tool-use record; the contribution concerns software analysis, while the customer retains responsibility for robot operations.
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Galbot C041Current 100
기여 · 영문 원문
Production-line robot supply
선정 근거 · 영문 원문
Galbot S1 works on CATL module and battery-pack lines. CATL describes deployment, visual positioning and obstacle avoidance.
근거 범위
CATL customer announcement; evidence concerns S1 production-line use, with future staffing and service-standard plans recorded separately.
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Gaussian Robotics / Gausium C043Current 100
기여 · 영문 원문
Store cleaning
선정 근거 · 영문 원문
Gausium supplies cleaning robots adopted at named ELVI stores.
근거 범위
Customer article republished by the supplier; subsequent investment is recorded as planned.
출처
Geek+ C045Current 100
기여 · 영문 원문
Warehouse transport
선정 근거 · 영문 원문
Geek+ provides warehouse movement within projects documented by implementation participants. People retain the picking role in the integrated workflow.
근거 범위
Implementation participants describe the warehouse project and the division between robot movement and human picking.
출처
GelSight C046Current 100
기여 · 영문 원문
Tactile research instrumentation
선정 근거 · 영문 원문
GelSight supplies the Mini sensor used by Politecnico di Milano researchers to acquire tactile measurements on industrial components with a FANUC collaborative robot. The researchers retain the anomaly-detection methods and evaluation.
근거 범위
Research v1, 2026-08-31, sections 3.3 and 4: adopted Mini instrumentation for robot-mounted dataset acquisition and external inspection-method comparison.
출처
GXO C047Current 100
기여 · 영문 원문
Customer logistics integration
선정 근거 · 영문 원문
GXO operates Digit at its SPANX site, integrating tote transfers with existing mobile robots and conveyors under a multiyear RaaS agreement.
근거 범위
GXO customer announcement; contract price, cash flows, residual value and measured uptime are undisclosed in the record.
출처
HAI Robotics C048Current 100
기여 · 영문 원문
Warehouse robot systems
선정 근거 · 영문 원문
HAI Robotics supplies ACR and AMR warehouse systems, including a Hyundai Mobis application.
근거 범위
Hai Robotics' Hyundai Mobis case describes tote retrieval and parts transport at the Suwon High Tech Center's spare-parts warehouse. Picking workstations retain the human picking step. This record recognizes the warehouse-system contribution described in that case.
출처
HaptX N030Current 100
기여 · 영문 원문
Tactile teleoperation
선정 근거 · 영문 원문
HaptX supplies tactile gloves adopted in Sanctuary's development workflow, providing human teleoperation input.
근거 범위
Sanctuary customer account and HaptX robotics cases, undated: gloves used in the customer's pilot-rig teleoperation workflow; autonomous robot tasks remain development.
출처
Hesai C049Current 100
기여 · 영문 원문
LiDAR components
선정 근거 · 영문 원문
Hesai’s Pandar sensors are used on WeRide vehicles. Supplier materials include the customer’s account of sensor adoption.
근거 범위
Supplier-published customer statement; evidence identifies a sensing component within the vehicle system.
출처
Horizon Robotics C050Current 100
기여 · 영문 원문
Driver-assistance computing
선정 근거 · 영문 원문
Horizon Robotics supplies Journey6M computing for NOA features in delivered customer vehicles.
근거 범위
Driver-assistance supply records; Journey 6M delivery and the planned 6H deployment retain their distinct product stages.
출처
Hyundai Motor Group C051Current 100
기여 · 영문 원문
Strategic robotics ownership
선정 근거 · 영문 원문
Hyundai Motor Group completed its controlling investment in Boston Dynamics in 2021. The joint announcement recorded an 80% group stake at closing.
근거 범위
2021 transaction announcement; the stake belongs to the group-level transaction, and current ownership requires separate evidence.
출처
InOrbit C052Current 100
기여 · 영문 원문
Robot operations tools
선정 근거 · 영문 원문
InOrbit supports monitoring and remote exception management for Kärcher KIRA B50 cleaning robots.
근거 범위
Customer statement and RobOps case; operations include remote support, with autonomy and certification assessed at the robot-system level.
출처
Intuitive Surgical C053Current 100
기여 · 영문 원문
Robotic bronchoscopy assistance
선정 근거 · 영문 원문
Intuitive Surgical’s Ion supports shape-sensing catheter manipulation for bronchoscopy and biopsy. North Tees describes trial adoption and actual biopsies in 2025.
근거 범위
Hospital account documenting physician-assisted use of the specified system version in the reported cases.
출처
JLG — Canvas Robotics N037Current 100
기여 · 영문 원문
Construction robotics technology transfer
선정 근거 · 영문 원문
JLG acquired Canvas core technology and integrated its team, carrying forward construction-robotics capabilities through a completed technology transfer.
근거 범위
JLG January 2026 announcement: technology acquisition and team integration; further integrated solutions are planned.
출처
John Deere C054Current 100
기여 · 영문 원문
Selective spraying
선정 근거 · 영문 원문
John Deere’s See & Spray recognizes plants and applies selective spraying in customer fields. Its commercial approach includes performance-linked charging.
근거 범위
Supplier savings claims and sponsored research; evidence is specific to the cited fields and billing arrangement.
출처
Keenon Robotics C055Current 100
기여 · 영문 원문
Restaurant and hotel service robots
선정 근거 · 영문 원문
Keenon’s DINERBOT and cleaning systems perform transport and service tasks at named restaurants and hotels, with staff handoffs and obstacle avoidance.
근거 범위
Supplier-published customer statements; newer humanoid demonstrations are separate development records.
출처
Kodiak Robotics / Kodiak AI C057Current 100
기여 · 영문 원문
Off-road transport
선정 근거 · 영문 원문
Kodiak supplies customer-owned trucks for limited off-road transport at Atlas.
근거 범위
Supplier delivery and transport reports; evidence covers the off-road domain and its stated operating scope.
출처
Locus Robotics C058Current 100
기여 · 영문 원문
Picking assistance
선정 근거 · 영문 원문
Locus robots assist human picking across multiple customer sites with repeated tasks.
근거 범위
Customer-use records; cumulative task totals have a different scope from profitability, failure rates and unattended operation.
출처
Meituan C061Current 100
기여 · 영문 원문
Autonomous delivery operations
선정 근거 · 영문 원문
Meituan operates drone and ground delivery systems. Its technical account connects sensing and autonomous movement with actual delivery orders.
근거 범위
Company operating totals; drone and ground-vehicle periods and denominators remain separate.
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Mobile Industrial Robots / MiR C062Current 100
기여 · 영문 원문
AMR container transport
선정 근거 · 영문 원문
MiR250 transports KLT containers at BORG Automotive, with MES completion confirmation. Customer and integrator statements describe the workflow.
근거 범위
Supplier-published interviews; MiR hardware, Octant integration and customer picking retain separate contributions.
출처
Momenta C063Current 100
기여 · 영문 원문
Production driving intelligence
선정 근거 · 영문 원문
Momenta supplies driving intelligence for named production customers including SAIC IM and Lynk.
근거 범위
Production-customer records covering L2 to L2++ functions; planned L3 and L4 functions are separate.
출처
Mytra C064Current 100
기여 · 영문 원문
Inventory buffering and sequencing
선정 근거 · 영문 원문
Mytra supports inventory buffering and sequencing before shipment at selected Albertsons distribution centers.
근거 범위
Mytra publishes Albertsons staff statements about inventory buffering and sequencing at selected distribution centers.
출처
NAVER / NAVER LABS C065Current 100
기여 · 영문 원문
Building-integrated robot operations
선정 근거 · 영문 원문
NAVER and NAVER LABS operate repeated internal deliveries at 1784, integrating robots with the building and elevators.
근거 범위
Internal customer-operation records; the parent and development subsidiary share one activity record, with external sales assessed separately.
출처
Nearthlab C066Current 100
기여 · 영문 원문
Wind-turbine inspection
선정 근거 · 영문 원문
Nearthlab’s NearthWind performs autonomous wind-turbine blade inspection. Its materials describe sensing, flight and inspection contracts with Siemens Gamesa, Vestas and GE.
근거 범위
Supplier contract history and cumulative totals; inspection volumes and safety records are company-reported.
출처
Nimble Robotics N053Current 100
기여 · 영문 원문
Robotic fulfillment supply
선정 근거 · 영문 원문
Nimble supplies robotic fulfillment used by named brands for picking, packing and shipping; later alliance plans extend that operating contribution.
근거 범위
Supplier customer cases including Fresh Clean Threads' 2023 fulfillment; FedEx alliance announcement, 2024-09-05.
출처
NVIDIA C067Current 100
기여 · 영문 원문
Robotics development infrastructure
선정 근거 · 영문 원문
NVIDIA’s Isaac Sim, Isaac Lab and GR00T support robot simulation, learning and deployment. Its May 2025 announcement names platform users including Agility, Boston Dynamics and Galbot.
근거 범위
Platform-use announcement; financial figures are company-wide consolidated GAAP for FY2026 ending 2026-01-25, in USD millions. The release tables are marked unaudited; user-site effects require user-specific evidence.
출처
Orbbec C068Current 100
기여 · 영문 원문
Depth sensing
선정 근거 · 영문 원문
Orbbec’s Gemini 336L supplies RGB and depth streams for Quasi Model C2. A customer engineer describes SDK integration into Q.AI.
근거 범위
Supplier-published customer statement; sensor supply and Quasi’s mapping, planning and control retain separate attribution.
출처
OrionStar C069Current 100
기여 · 영문 원문
Factory process transport
선정 근거 · 영문 원문
OrionStar CarryBot transports materials between processes at a Yanai Denki factory in Japan.
근거 범위
2025 company-republished newspaper account of deployment; newspaper text and fleet-wide outcomes lack separate verification.
출처
OSARO C070Current 100
기여 · 영문 원문
Learned packaging
선정 근거 · 영문 원문
OSARO provides learned vision and control for Zenni packaging, with later records describing transition into production.
근거 범위
OSARO’s records distinguish the 2022 packaging plan from the subsequent production transition at Zenni.
출처
Parallel Domain C071Current 100
기여 · 영문 원문
Synthetic perception data
선정 근거 · 영문 원문
Parallel Domain supplies synthetic perception-training data used by named organizations including Google, Woven and Toyota Research Institute.
근거 범위
Supplier customer-use claims; cited abstracts provide limited independent attribution of the particular dataset.
출처
Path Robotics C072Current 100
기여 · 영문 원문
Robotic welding
선정 근거 · 영문 원문
Path Robotics supplies a welding cell used by Millerbernd to fabricate transport and infrastructure poles. The case includes a welder describing the work.
근거 범위
Supplier case and worker quotation describing the welding application.
출처
Pickle Robot C073Current 100
기여 · 영문 원문
Trailer unloading
선정 근거 · 영문 원문
Pickle Robot unloads UPS trailers using motion and path selection in actual handling work.
근거 범위
Supplier-published customer quotation; the cited 90-minute task is distinct from a shift-average measure.
출처
Plus One Robotics C074Current 100
기여 · 영문 원문
Parcel vision and exception handling
선정 근거 · 영문 원문
Plus One’s PickOne provides vision recognition for FedEx parcel sorting, while Yonder supports remote exception handling.
근거 범위
The FedEx site record describes Plus One’s vision and remote exception handling alongside Yaskawa’s arm, gripper and integration.
출처
Pudu Robotics C075Current 100
기여 · 영문 원문
Office cleaning
선정 근거 · 영문 원문
PUDU CC1 Pro cleans carpets and floors in shared areas of a Walmart US office facility, using navigation and path planning.
근거 범위
Supplier case covering office common areas; publication date and independent labor-saving logs are unavailable.
출처
Quicktron C076Current 100
기여 · 영문 원문
Warehouse shelf transport
선정 근거 · 영문 원문
Quicktron M-Series moves shelves in Coupang’s goods-to-person workflow. RCS and higher-level systems allocate warehouse tasks.
근거 범위
Supplier case; people perform final picking, and fleet counts and efficiency figures are company-reported.
출처
RightHand Robotics C078Current 100
기여 · 영문 원문
Warehouse picking
선정 근거 · 영문 원문
RightPick performs picking at apo.com and PALTAC. Named customer statements describe operating use and learning features.
근거 범위
Supplier-published statements; storage and transport by AutoStore or Murata have separate roles, while order totals cover the wider workflow.
출처
Roborock C079Current 100
기여 · 영문 원문
Object pickup and cleaning
선정 근거 · 영문 원문
Roborock Saros Z70 recognizes and picks up a limited range of objects while cleaning. A purchaser’s test records both use and failures.
근거 범위
Qualitative hands-on review; observations include automatic and manual operation, with no formal success-rate measurement.
출처
ROBOTIS C080Current 100
기여 · 영문 원문
Research actuators and platforms
선정 근거 · 영문 원문
ROBOTIS supplies actuators and physical platforms used in research and education, including dual-arm learning work.
근거 범위
Supplier index and user research paper; evidence covers component use in research, with commercial returns assessed separately.
출처
Roboto AI C081Current 100
기여 · 영문 원문
Robot operations analysis
선정 근거 · 영문 원문
Roboto AI supports post-flight QA for BRINC and robot-fault analysis for ANYbotics. Named customer staff describe using the tools.
근거 범위
Supplier-published customer statements; time-saving claims lack independent audit, and the contribution concerns data analysis.
출처
Robust.AI C082Current 100
기여 · 영문 원문
Collaborative tote transport
선정 근거 · 영문 원문
Robust.AI’s Carter transports totes and assists picking at Saddle Creek’s Charlotte site. A named operations manager describes its use.
근거 범위
Supplier-published customer statements; announced charging policies and productivity claims have separate financial and measurement scopes.
출처
Rockwell Automation C083Current 100
기여 · 영문 원문
MES and AMR integration
선정 근거 · 영문 원문
Rockwell integrates MES with OTTO transport at its Twinsburg factory, dispatching moves from production orders.
근거 범위
Internal factory-use case; dispatch is rule-based, and cost-recovery figures are company calculations.
출처
Saildrone C084Current 100
기여 · 영문 원문
Ocean observation
선정 근거 · 영문 원문
Saildrone performs repeated ocean-observation missions for NOAA, transmitting measurements used in public scientific datasets.
근거 범위
NOAA multi-year mission records; navigation autonomy operates with a defined supervision scope, while scientific analysis has separate attribution.
출처
Samsung Electronics C085Current 100
기여 · 영문 원문
Strategic robotics ownership
선정 근거 · 영문 원문
Samsung’s filings document acquisition of control over Rainbow Robotics and its consolidation into the group.
근거 범위
Financial filings on strategic ownership; payments for existing shares are distinct from new cash raised by Rainbow.
출처
Sarcos → Palladyne AI C086Current 100
기여 · 영문 원문
Maintenance automation software
선정 근거 · 영문 원문
Palladyne AI supplies learned software for automated surface preparation at Warner Robins. A named customer describes completion of the first contract phase.
근거 범위
Supplier-published customer statement; the second phase was planned, and the four-year contract amount is distinct from cash received.
출처
Seoul Robotics C087Current 100
기여 · 영문 원문
Factory vehicle perception
선정 근거 · 영문 원문
Seoul Robotics supplies external perception for vehicle movement inside a BMW factory.
근거 범위
BMW customer material; partner systems handle driving plans, steering and braking within the factory domain.
출처
Shadow Robot N072Current 100
기여 · 영문 원문
Dexterous research-hand supply
선정 근거 · 영문 원문
Shadow Robot co-developed DEX-EE hardware with DeepMind and supplies the released standard research hand used in DeepMind's DemoStart experiments. Hardware development and supply retain joint credit; DeepMind retains its learning method.
근거 범위
Shadow account, 2024-06-06: standard build available to the market; DeepMind account, 2024-09-12: adopted DEX-EE hardware in physical manipulation research.
출처
SoftBank C090Current 100
기여 · 영문 원문
Warehouse-automation ownership and investment vehicle
선정 근거 · 영문 원문
SoftBank completed a secondary Symbotic share purchase and established the GreenBox joint-venture vehicle for warehouse automation.
근거 범위
Joint announcement, 2023-07-24: completed ownership transaction and established vehicle; initial funding and multiyear purchases are commitments.
출처
Standard Robots C091Current 100
기여 · 영문 원문
AMR pallet transport
선정 근거 · 영문 원문
Standard Robots supplies AMRs used to transport pallets at TRUSCO’s Planet Saitama logistics center.
근거 범위
TRUSCO customer announcement; evidence concerns the deployed transport system, while newer VLA features have separate scope.
출처
Superbin C092Current 100
기여 · 영문 원문
AI recycling collection
선정 근거 · 영문 원문
Superbin’s Nephron uses AI classification in installed recycling-collection units.
근거 범위
Installation and maintenance history; repeated references to the same 100-unit event count as one event.
출처
Symbotic C093Current 100
기여 · 영문 원문
Logistics automation systems
선정 근거 · 영문 원문
Symbotic supplies logistics automation systems documented in filings alongside customer contracts.
근거 범위
Operating systems and contractual commitments have separate status; the 400-system figure is a conditional purchase commitment.
출처
Syrius Robotics / Syrius Technology C094Current 100
기여 · 영문 원문
Picking-assistance AMRs
선정 근거 · 영문 원문
Syrius provides picking-assistance AMRs through Syrius Japan and ROBOCREW at STOCKCREW. The customer announced completed trials and full deployment beginning in 2022.
근거 범위
Customer’s 2022 announcement; people perform picking. Supplier fleet and five-year contract figures have separate verification status.
출처
UBTECH C103Current 100
기여 · 영문 원문
Industrial humanoid supply and factory tasks
선정 근거 · 영문 원문
UBTECH reports industrial humanoid production and delivery for automotive-factory handling, sorting and inspection. Its selected contribution is the supply of robots for those tasks.
근거 범위
UBTECH 2025 results filed with HKEX on 2026-03-31, printed pp. 2-4 and 10-11; supplier industrial application page describing named-factory tasks, accessed October 2026.
출처
Unitree Robotics C095Current 100
기여 · 영문 원문
Physical research platforms
선정 근거 · 영문 원문
Unitree supplies physical robots used in external whole-body motion research.
근거 범위
External research preprint; evidence concerns physical-platform use in research.
출처
Universal Robots C096Current 100
기여 · 영문 원문
Greenhouse harvesting hardware
선정 근거 · 영문 원문
Universal Robots supplies UR5e arms used by eternal.ag for greenhouse harvesting. The case includes the customer CTO’s account.
근거 범위
Supplier-published customer case; AI-model development, crop yield and long-term operating economics have distinct attribution.
출처
Viam C097Current 100
기여 · 영문 원문
Fleet operations software
선정 근거 · 영문 원문
Viam provides fleet data, status checks and code deployment for Tennibot. Named customer leaders describe practical use.
근거 범위
Supplier-published customer case; further AI integration was planned, while fleet support capacity differs from actual deployment.
출처
VisionNav Robotics C098Current 100
기여 · 영문 원문
Autonomous forklift logistics
선정 근거 · 영문 원문
VisionNav VNL16 transports materials through inbound, shelving and outbound workflows for an equipment manufacturer, following scans and RCS instructions.
근거 범위
VisionNav describes an unnamed manufacturer’s inbound, shelving and outbound workflow. Continuous operation is a stated target.
출처
Waymo C102Current 100
기여 · 영문 원문
Driverless passenger-service operation
선정 근거 · 영문 원문
Waymo operates rider-only passenger services across multiple US regions. Its operating disclosure and California deployment-permit record identify autonomous passenger-service operation.
근거 범위
Waymo operating data through June 2026; CPUC deployment-permit table accessed October 2026; manufacturer recall 25E-034 filed with NHTSA on 2025-05-12.
출처
XYZ Robotics C099Current 100
기여 · 영문 원문
Warehouse unloading supply
선정 근거 · 영문 원문
XYZ Robotics supplied RockyOne for unloading at Nitori Home Logistics' Satte site, with the supplier reporting stable operational pilots and announcing expansion.
근거 범위
Supplier account, 2026-02-16: Satte pilots began June 2025; regional expansion is prospective; Japanese distribution begins February 2026.
출처
Zipline C100Current 100
기여 · 영문 원문
Autonomous aerial delivery
선정 근거 · 영문 원문
Zipline performs paid autonomous aerial deliveries with sensing and flight functions documented in its operating accounts.
근거 범위
Company reports; delivery counts, item counts and distance use separate units, while future regions and platforms retain planned status.
출처
1X Technologies N001Next 100
기여 · 영문 원문
Whole-body policy learning
선정 근거 · 영문 원문
1X’s Redwood describes a policy that learns locomotion and manipulation together. NEO’s ordering and support terms provide a separate product-development record.
근거 범위
Company model and product materials; ordering, planned shipment, delivery and repeated household use are distinct stages, with external voice processing and remote support recorded separately.
출처
AeiROBOT N100Next 100
기여 · 영문 원문
Research and competition platforms
선정 근거 · 영문 원문
AeiROBOT and HERoEHS jointly develop ALICE4 walking and competition vision within their humanoid research programme.
근거 범위
HERoEHS 2025 team description, pp. 1-2: completed walking/vision work and proposed controller upgrades.
출처
Aeva N002Next 100
기여 · 영문 원문
Industrial sensing
선정 근거 · 영문 원문
Aeva’s Eve sensing technology is integrated into a SICK sensor product described in a launch announcement.
근거 범위
Aeva’s product announcement describes Eve sensing integrated into a SICK sensor.
출처
Aigen N003Next 100
기여 · 영문 원문
Agricultural field trials
선정 근거 · 영문 원문
Aigen’s Element began use at the named Bowles farm. Customer quotations describe early evaluation in the field.
근거 범위
Supplier-published customer account of initial trials; operating hours, intervention and herbicide-cost comparisons are company claims.
출처
Alibaba N004Next 100
기여 · 영문 원문
Robotic perception and action models
선정 근거 · 영문 원문
Alibaba’s RynnBrain release provides model and code resources, with VLA transfer reported on G1, Astribot and Tianji-Wuji platforms.
근거 범위
RynnBrain’s official repository provides model and code resources, with authors reporting physical tests on specified robots.
출처
Ambarella N005Next 100
기여 · 영문 원문
Robot inference integration development
선정 근거 · 영문 원문
Ambarella supplies CV72 inference computing for e-con's ROS 2 rover demonstration of object search, approach, alignment and imaging. The partners' selected robotics integration remains a development contribution.
근거 범위
e-con engineering account, May 2026: CES 2025 physical rover demonstration using CV72eSOM, ROS 2 and Nav2; perception/navigation integration validation.
출처
Anthropic N006Next 100
기여 · 영문 원문
Language-model control research
선정 근거 · 영문 원문
Anthropic tested Claude on robotics control tasks using MuJoCo and LIBERO. Its published research records model calls, simulation conditions and failures.
근거 범위
Anthropic’s published robotics research covers model-driven control in specified simulated tasks, including recorded failures.
출처
Apple N007Next 100
기여 · 영문 원문
Robot interaction and learning data
선정 근거 · 영문 원문
Apple’s ARMADA research collects manipulation trajectories with AR feedback and replays them on physical robots. ELEGNT adds research on expressive robot movement.
근거 범위
Joint research involving 15 participants and three ARMADA tasks; evidence covers interaction and data-development experiments.
출처
Apptronik N008Next 100
기여 · 영문 원문
Humanoid customer trials
선정 근거 · 영문 원문
Apptronik develops Apollo for repetitive manufacturing tasks through Mercedes' production-environment data collection and employee teleoperation-based training.
근거 범위
Mercedes customer account, 2025-03-18: integration testing, training data and autonomous-development step.
출처
Astribot N009Next 100
기여 · 영문 원문
Manipulation-policy research
선정 근거 · 영문 원문
Astribot’s Lumo-1 paper describes S1 learning and physical pick-and-place tests.
근거 범위
The Lumo-1 paper describes S1 learning and its physical pick-and-place test conditions.
출처
Autodesk N010Next 100
기여 · 영문 원문
Learned assembly
선정 근거 · 영문 원문
Autodesk combines planning and reinforcement learning in physical dual-arm assembly research.
근거 범위
Joint university research reports physical dual-arm assembly; completed steps and completed products use distinct success measures.
출처
BeingBeyond N011Next 100
기여 · 영문 원문
Video-based robot learning
선정 근거 · 영문 원문
BeingBeyond trains robot behavior from human video. Being-H0.5 reports tests on five robot platforms, and its repository provides an SO101 deployment procedure.
근거 범위
Author-reported research and repository documentation; video-derived pseudo-tactile signals and physical tactile measurements have different scopes.
출처
BeyondHoneycomb N012Next 100
기여 · 영문 원문
Cooking-state sensing
선정 근거 · 영문 원문
BeyondHoneycomb develops cooking systems that use AI and sensors to measure and reproduce cooking states.
근거 범위
Investor D2SF describes the cooking system’s AI and sensor development. Customer references are anonymous.
출처
bitsensing N013Next 100
기여 · 영문 원문
Radar shuttle trials
선정 근거 · 영문 원문
bitsensing’s pilot material describes an actual road shuttle at FIX 2025.
근거 범위
The official pilot account describes a road shuttle at FIX 2025; the 500-vehicle figure is an expansion plan.
출처
Black Sesame N101Next 100
기여 · 영문 원문
Robotics compute kits
선정 근거 · 영문 원문
Black Sesame reports initial supply of its Aura development kit, extending automotive computing toward robotics development.
근거 범위
Black Sesame announces initial Aura development-kit supply. The record concerns developer hardware rather than final AUBO customer deployment.
출처
ByteDance N014Next 100
기여 · 영문 원문
Robot action-model research
선정 근거 · 영문 원문
ByteDance’s GR-2 research combines video pretraining with robot trajectories and manipulation tests.
근거 범위
Paper abstract and limited affiliation records; reported tests concern research, with the later GR3 page excluded from detailed evidence.
출처
Config N015Next 100
기여 · 영문 원문
Robot data and task models
선정 근거 · 영문 원문
Config publishes HABIT robot observation and action data, supporting its reported CFG-1 learning and physical-task development.
근거 범위
Company and repository documentation for HABIT and CFG-1. Timing figures are reported by Config.
출처
DEEPX N016Next 100
기여 · 영문 원문
Robotics edge computing
선정 근거 · 영문 원문
DEEPX develops robotics inference computing with Hyundai Motor Group’s Robotics Lab. Hyundai material connects earlier edge-brain work with DAL-e demonstrations, while DX-M2 defines a further development path.
근거 범위
Joint-development and demonstration records; earlier edge-brain results and DX-M2 completion, production supply and customer revenue have separate status. This is the Korean DEEPX company.
출처
EngineAI N018Next 100
기여 · 영문 원문
Learning and deployment tools
선정 근거 · 영문 원문
EngineAI publishes PM01 reinforcement-learning training, simulation validation and physical deployment procedures.
근거 범위
PM01 repository documentation covers training, simulation validation and hardware deployment procedures, using Isaac Lab infrastructure.
출처
Faraday Dynamics N019Next 100
기여 · 영문 원문
Robot actuators
선정 근거 · 영문 원문
Faraday Dynamics develops Direct Drive and QDD actuator components, with sample fabrication and trial-production history described in an event profile.
근거 범위
An event profile records the Korean actuator company’s sample fabrication and trial-production history.
출처
Flexion Robotics N104Next 100
기여 · 영문 원문
Whole-body task policies
선정 근거 · 영문 원문
Flexion’s June 2026 Reflect v1.0 report describes a humanoid retrieving a parcel, navigating between floors and interacting with doors and elevators. Learned motion policies and whole-body control connect those steps into a research demonstration.
근거 범위
Company-reported Reflect v1.0 research demonstration, published 29 June 2026; the entry covers the documented missions and controller. Customer acceptance and safety certification are outside this report’s evidence.
출처
Flexxbotics N021Next 100
기여 · 영문 원문
Inspection-to-rework integration
선정 근거 · 영문 원문
Flexxbotics describes integration that turns inspection results into robot rework and equipment correction.
근거 범위
Supplier implementation materials describe statistical process control and machine-learning functions separately.
출처
Floatic N022Next 100
기여 · 영문 원문
Collaborative picking trials
선정 근거 · 영문 원문
Floatic tested collaborative picking with LogisALL at a named location, documenting the robot, software and human work roles.
근거 범위
Floatic’s company account covers a LogisALL picking proof of concept with specified robots, software and human roles.
출처
Fourier Intelligence N023Next 100
기여 · 영문 원문
Robot training and deployment tools
선정 근거 · 영문 원문
Fourier publishes GRx code connecting reinforcement-learning training, MuJoCo validation and physical-robot deployment.
근거 범위
Fourier’s GRx README and code describe a research-platform workflow from training through simulation to hardware deployment.
출처
Galaxea AI N024Next 100
기여 · 영문 원문
Physical manipulation learning
선정 근거 · 영문 원문
Galaxea’s research connects data collection on a specified robot with policy learning and four physical-task evaluations.
근거 범위
Galaxea’s research team reports policy learning and four physical-task evaluations on specified hardware.
출처
Gecko Robotics C044Next 100
기여 · 영문 원문
Robot-assisted component inspection
선정 근거 · 영문 원문
Gecko develops robotic inspection and AI analysis for a new forged-component workflow with BPMI and suppliers.
근거 범위
Gecko announcement, 2025-07-15: initial component-inspection trials and proposed digital-thread expansion.
출처
Generalist AI N025Next 100
기여 · 영문 원문
Manipulation-model research
선정 근거 · 영문 원문
Generalist’s GEN-0 materials describe robot-specific manipulation tests and model structure.
근거 범위
Company research account describing the model and reporting its training-data hours.
출처
Genesis AI N026Next 100
기여 · 영문 원문
Physical manipulation development
선정 근거 · 영문 원문
Genesis AI describes GENE-26.5 physical manipulation demonstrations and its data and hand architecture.
근거 범위
Genesis AI’s release describes physical research demonstrations and data and hand architecture; Eno customer deployment is planned.
출처
Genisom AI N027Next 100
기여 · 영문 원문
Robot software development tools
선정 근거 · 영문 원문
Genisom provides development documentation connecting VLMs, LLMs, MATRiX and ROS2 with execution procedures.
근거 범위
Official linked repository; visual navigation reaches simulation instructions, and hardware deployment is marked TODO.
출처
Gole Robotics N028Next 100
기여 · 영문 원문
Construction transport trials
선정 근거 · 영문 원문
Gole Robotics tested material transport at a named construction site.
근거 범위
The recorded construction field trial concerns robot transport of materials at a named site.
출처
Google DeepMind N029Next 100
기여 · 영문 원문
On-device robotics models
선정 근거 · 영문 원문
Google DeepMind’s Gemini Robotics On-Device combines a local model, SDK and physical adaptation tests.
근거 범위
The Gemini Robotics On-Device release covers a local model, SDK and physical adaptation tests under stated research conditions.
출처
Hello Robot N111Next 100
기여 · 영문 원문
Open-vocabulary mobile manipulation development
선정 근거 · 영문 원문
Hello Robot maintains the developing Stretch AI integration for language-directed mobile manipulation, connecting semantic memory, navigation and task execution. Its team reports physical pick-and-place demonstrations; inherited Meta HomeRobot and other research methods retain their original attribution.
근거 범위
Hello Robot repository and documentation, accessed 2026-10-11: developer-reported physical language-directed pick-and-place and experimental code-policy, semantic-memory and navigation integration. The networked GPU configuration uses calibrated hardware; DynaMem also documents a reduced-capability onboard CPU mode.
출처
Helm.ai N031Next 100
기여 · 영문 원문
Driving-model development
선정 근거 · 영문 원문
Helm.ai develops driving models under a collaboration whose scope and application pathway are confirmed by a named OEM.
근거 범위
Customer-confirmed development agreement; mass production, payments and L3 approvals have separate status.
출처
Hexagon N032Next 100
기여 · 영문 원문
Humanoid training and validation
선정 근거 · 영문 원문
Hexagon’s AEON entered Schaeffler’s Humanoid Gym for training and validation.
근거 범위
Hexagon describes AEON training and validation at Schaeffler’s Humanoid Gym. The 1,000-robot figure is a future deployment plan.
출처
Honda N033Next 100
기여 · 영문 원문
Dexterous teleoperation assistance
선정 근거 · 영문 원문
Honda describes a dexterous hand using intent estimation and contact feedback, including repeated learning of screwdriver regrasping.
근거 범위
Honda technical research account; teleoperation and AI assistance are distinct functions, and measured figures are company-reported.
출처
Hugging Face N113Next 100
기여 · 영문 원문
Compact perception-to-action model research
선정 근거 · 영문 원문
Hugging Face co-develops SmolVLA, connecting visual observations and instructions to manipulation actions. Its research evaluates SO100 and SO101 physical tasks, with shared credit for academic partners, hardware designers and community data contributors.
근거 범위
June 2025 research and released model resources: physical manipulation evaluations and task adaptation. LeRobot's separately adopted infrastructure is recognized in I026; this company entry selects SmolVLA model research.
출처
Intel N034Next 100
기여 · 영문 원문
Neuromorphic robot-control research
선정 근거 · 영문 원문
Intel contributes Loihi 2 computing to joint NRL/Intel research converting a reinforcement-learning controller into neuromorphic inference for Astrobee simulation.
근거 범위
Joint NRL/Intel research v1, 2025-12-03: chip-executed inference and closed-loop Astrobee simulation; feasibility validation.
출처
Intrinsic N035Next 100
기여 · 영문 원문
AI manufacturing integration
선정 근거 · 영문 원문
Intrinsic integrates perception and path planning into TRUMPF’s SortMaster Vision development.
근거 범위
TRUMPF SortMaster Vision product integration; the record covers development and software integration.
출처
JD.com N036Next 100
기여 · 영문 원문
Multi-source action learning
선정 근거 · 영문 원문
JD.com’s JoyAI-RA research describes learning from multiple data sources and evaluation in simulation and physical benchmarks.
근거 범위
Research-team materials and paper abstract describing the action model.
출처
KNOWIN N039Next 100
기여 · 영문 원문
Closed-loop policy research
선정 근거 · 영문 원문
KNOWIN’s GLOW report describes a model and real-robot one-shot and closed-loop evaluations.
근거 범위
Author-reported physical evaluations; simulation and scene-question-answering results retain their separate test scopes.
출처
Leju Robotics N040Next 100
기여 · 영문 원문
Robot development tools
선정 근거 · 영문 원문
Leju’s LeTools provides public code and a documented route to physical-robot deployment.
근거 범위
LeTools’ official README describes public code and hardware deployment procedures. Factory agreements are separate corporate records.
출처
LG Electronics N041Next 100
기여 · 영문 원문
Household manipulation development
선정 근거 · 영문 원문
LG’s CLOiD development combines VLM and VLA systems with a wheeled, dual-arm structure for household tasks and appliance integration.
근거 범위
LG’s CES announcement and preview describe CLOiD household-task development and demonstration plans.
출처
LimX Dynamics N042Next 100
기여 · 영문 원문
Hardware-linked development tools
선정 근거 · 영문 원문
LimX publishes development tools and robot-specific execution procedures for hardware-linked engineering. In a separate humanoid navigation demonstration, RealSense supplies RGB-D camera input, NVIDIA supplies cuVSLAM odometry and LimX integrates the navigation system.
근거 범위
LimX's public materials describe hardware-linked development and execution procedures; speed figures are supplier-reported. The undated RealSense account documents camera input in a physical humanoid demonstration. RealSense retains supplier credit outside the 200-company selection.
출처
Lumos Robotics N043Next 100
기여 · 영문 원문
Manipulation data platforms
선정 근거 · 영문 원문
Lumos provides FastUMI data-platform code and a physical policy-development path for Touch R1.
근거 범위
FastUMI repository and Touch R1 documentation cover data and policy-development tools. The JD agreement is a separate partnership event.
출처
Machina Labs N044Next 100
기여 · 영문 원문
Closed-loop forming
선정 근거 · 영문 원문
Machina Labs combines closed-loop forming with scan-based correction, including a Toyota demonstration pathway.
근거 범위
Machina Labs describes closed-loop forming, scan correction and a Toyota demonstration. Published depth specifications conflict between 4 ft and 5 ft.
출처
MakinaRocks N045Next 100
기여 · 영문 원문
Robot maintenance models
선정 근거 · 영문 원문
MakinaRocks develops maintenance models for HD Hyundai Samho welding robots, using simulated-fault tests described in its September 2026 technical account.
근거 범위
The September 2026 technical report covers maintenance-model development and simulated faults on HD Hyundai Samho welding robots.
출처
Maven Robotics N102Next 100
기여 · 영문 원문
Logistics deployment development
선정 근거 · 영문 원문
Maven Robotics describes a product launch and deployment for specific logistics tasks.
근거 범위
Maven’s company announcement describes product release and logistics deployment at an unnamed customer. Accumulated operating hours are a target.
출처
Mentee Robotics / Mentee by Mobileye N046Next 100
기여 · 영문 원문
Physical manipulation learning
선정 근거 · 영문 원문
Mentee describes observation, offline reinforcement learning and physical execution for battery replacement and handing over cans.
근거 범위
Company physical-development account; customer trials, success denominators and independent verification remain unavailable.
출처
Meta N047Next 100
기여 · 영문 원문
Collaborative robotics benchmarks
선정 근거 · 영문 원문
Meta publishes PARTNR data and benchmarks, with research describing application to Spot and tests of collaboration, failure and recovery.
근거 범위
Company research release covering the specified tools and research tests.
출처
Microsoft N048Next 100
기여 · 영문 원문
Robot planning and action models
선정 근거 · 영문 원문
Microsoft’s Magma repository provides robot-planning demonstrations, training code, model releases and evaluation procedures.
근거 범위
Magma’s official repository and joint research provide planning demonstrations, training code and evaluation procedures.
출처
Mobilint N096Next 100
기여 · 영문 원문
Robot-policy encoder integration research
선정 근거 · 영문 원문
Mobilint supplies Aries2 hardware for an external study of robot-policy encoder offloading, retaining hardware credit separately from the researchers' policy and evaluation.
근거 범위
Research v1, 2026-08-15: physical Aries2 encoder inference, GPU action computation and simulated rollouts; energy, latency and task-success trade-offs.
출처
Mobiltech N097Next 100
기여 · 영문 원문
Spatial data assets
선정 근거 · 영문 원문
Mobiltech supplies documented 3D spatial assets and links them to named test grounds and simulators.
근거 범위
Mobiltech's published simulation and open-data asset records describe the spatial-data contribution.
출처
MORAI N049Next 100
기여 · 영문 원문
Driving simulation tools
선정 근거 · 영문 원문
MORAI publishes sensor models, path-generation documentation and driving examples for autonomous-driving development.
근거 범위
MORAI’s documentation and public repository cover driving-simulation sensor models, path generation and examples.
출처
Near Earth Autonomy N051Next 100
기여 · 영문 원문
Autonomous aircraft integration
선정 근거 · 영문 원문
Near Earth Autonomy reports autonomous AW139 flight and RUC60 integration development.
근거 범위
Company records describe AW139 autonomous flight tests and RUC60 integration development.
출처
NEURA Robotics N052Next 100
기여 · 영문 원문
Robotics learning platforms
선정 근거 · 영문 원문
NEURA describes robots, a learning platform and a joint welding application with Abicor Binzel.
근거 범위
NEURA’s Automatica announcement covers robots, learning infrastructure and a joint welding application. Production-scale goals remain targets.
출처
Noetix Robotics N054Next 100
기여 · 영문 원문
Reinforcement-learning tools
선정 근거 · 영문 원문
Noetix publishes N2 reinforcement-learning code, model export and sim-to-sim procedures.
근거 범위
Noetix’s N2 README provides reinforcement-learning, export and sim-to-sim procedures for research development.
출처
Nota AI N095Next 100
기여 · 영문 원문
Robot inference runtime
선정 근거 · 영문 원문
Nota’s NQRR runtime operated on a Qualcomm board with SO-101 in a color-based cube-transfer demonstration at KRAIN 2026.
근거 범위
Official technical report of a demonstration; further integration validation remains planned, and general semiconductor contracts retain their own scope.
출처
Nuro N055Next 100
기여 · 영문 원문
Robotaxi employee trials
선정 근거 · 영문 원문
Nuro’s driving system entered employee ride tests confirmed by Uber, extending its development path beyond delivery vehicles.
근거 범위
Partner-confirmed employee trials; Lucid vehicle supply, Uber operation and Nuro control retain separate roles.
출처
Outrider N056Next 100
기여 · 영문 원문
Autonomous yard trials
선정 근거 · 영문 원문
Outrider’s 2024 material describes customer-site movement trials and deep-learning-based connection tasks.
근거 범위
Outrider’s 2024 account describes customer-site trials and learned connection tasks. Customer identities are undisclosed.
출처
PaXini N057Next 100
기여 · 영문 원문
Tactile manipulation
선정 근거 · 영문 원문
PaXini describes tactile-feedback control for DexH13 grasping and handle manipulation, and TORA-ONE cup and wafer tasks.
근거 범위
PaXini’s reports cover physical tactile-control demonstrations; data production capacity and cloud access are announced plans.
출처
Persona AI N058Next 100
기여 · 영문 원문
Teleoperated welding
선정 근거 · 영문 원문
Persona AI demonstrated physical movement, posture and arc welding at ARC Specialties using teleoperation.
근거 범위
Persona AI’s report describes teleoperated movement, posture and arc welding at ARC Specialties.
출처
Physical Intelligence N059Next 100
기여 · 영문 원문
Open policy development tools
선정 근거 · 영문 원문
Physical Intelligence’s openpi provides models, checkpoints and documented inference and fine-tuning procedures.
근거 범위
The openpi README provides models, checkpoints, inference and fine-tuning instructions as public development resources.
출처
Qualcomm N060Next 100
기여 · 영문 원문
Robotics computing environment
선정 근거 · 영문 원문
Qualcomm provides robotics evaluation boards, ROS 2 and Gazebo samples, with a documented separation of perception and control.
근거 범위
Official developer documentation; compute specifications and actual robot-task performance have separate measurement scopes.
출처
Raion Robotics N061Next 100
기여 · 영문 원문
Quadruped control development
선정 근거 · 영문 원문
Raion Robotics records a long-distance mobility test in its company history and describes quadruped-control development.
근거 범위
Raion’s company history describes a long-distance quadruped mobility test and control-development work.
출처
RealMan N062Next 100
기여 · 영문 원문
Robot data and teleoperation
선정 근거 · 영문 원문
RealMan describes physical platforms, teleoperation and data QA for RealBot and Darwin development, alongside a data center it reports as operating.
근거 범위
RealMan describes robot development, teleoperation and data QA, with center scale and operating status reported by the company.
출처
Realtime Robotics N064Next 100
기여 · 영문 원문
Motion-planning optimization
선정 근거 · 영문 원문
Realtime Robotics applied motion-planning tools in a Volkswagen cell proof of concept and described resulting adjustments.
근거 범위
Supplier proof-of-concept account; evidence concerns automatic path search and collision avoidance, with learning-model attribution excluded.
출처
Reliable Robotics N065Next 100
기여 · 영문 원문
Airborne detect-and-avoid research
선정 근거 · 영문 원문
Reliable Robotics tested sensor tracking and ACAS-Xr alerts in actual flight for detect-and-avoid development.
근거 범위
Reliable-authored report hosted by the FAA; the system had no flight-control authority, and 52 of 56 refers to achieved encounter conditions.
출처
Rhoda AI N109Next 100
기여 · 영문 원문
Video-pretrained industrial manipulation research
선정 근거 · 영문 원문
Rhoda tests how web-video pretraining affects robot-policy performance in industrial bearing unpacking. Its physical evaluation connects model choices to a defined multistep handling task.
근거 범위
Rhoda research account dated 2026-09-10: bearing-unpacking robot-policy study, task scoring and recorded physical trials; development evaluation in a customer task setting.
출처
Richtech Robotics N066Next 100
기여 · 영문 원문
AI beverage manipulation
선정 근거 · 영문 원문
Richtech’s ADAM uses vision and control AI to observe drinks and adjust movement and pouring, as described in its FY2025 filing and later development announcement.
근거 범위
Richtech’s FY2025 filing and 2026 announcement describe ADAM perception and pouring development. Feature claims retain their stated periods.
출처
RIVR N110Next 100
기여 · 영문 원문
Terrain-aware parcel-delivery trials
선정 근거 · 영문 원문
RIVR develops wheeled-legged robots for parcel delivery with Veho. The customer's initial field experiment tests stairs, gates and uneven sidewalks while staff accompany the robot and collect learning data.
근거 범위
Veho customer account, 2025-05-27: accompanied last-meter parcel-delivery experiment; Veho 2026 innovation account reports the launch of RIVR robots.
출처
RLWRLD N067Next 100
기여 · 영문 원문
Physical policy research
선정 근거 · 영문 원문
RLWRLD’s paper describes physical ALLEX and Franka tasks with specified evaluation criteria.
근거 범위
RLWRLD’s paper reports ALLEX and Franka research tasks; 86.8% is the research team’s average for its specified tasks.
출처
RoboForce N105Next 100
기여 · 영문 원문
Industrial robot pilots
선정 근거 · 영문 원문
RoboForce develops TITAN and reports ongoing pilots for robot tasks in demanding industrial environments.
근거 범위
Company announcements documenting prototype development, pilot activity and contract signing as separate milestones.
출처
RobotEra N068Next 100
기여 · 영문 원문
Predictive manipulation-policy development
선정 근거 · 영문 원문
RobotEra develops the VPP predictive-visual manipulation-policy programme and supplies XHand used in external LeVR experiments. Hardware supply and each research team's policy retain separate attribution.
근거 범위
RobotEra VPP repository and LeVR v1, 2025-09-17: policy development and real-robot manipulation evaluation with Franka FER and XHand.
출처
ROBROS N069Next 100
기여 · 영문 원문
Learned block sorting
선정 근거 · 영문 원문
ROBROS demonstrated learned block sorting on physical hardware.
근거 범위
The physical demonstration covers learned block sorting; service rollout is a target. ROBROS and ROBOTIS are separate companies.
출처
Sanctuary AI N070Next 100
기여 · 영문 원문
Contact-task learning
선정 근거 · 영문 원문
Sanctuary describes learned physical contact tasks on FR3.
근거 범위
Research-development evidence; the FR3 results and Phoenix factory work are separate activities, while the Magna agreement retains agreement status.
출처
Saronic N071Next 100
기여 · 영문 원문
Autonomous surface-vessel trials
선정 근거 · 영문 원문
Saronic’s Corsair completed multi-day trials described as funded by the company’s own research and development budget.
근거 범위
Company account of the reported vessel trials. Marauder is a separate development programme.
출처
Siemens C088Next 100
기여 · 영문 원문
Factory integration trials
선정 근거 · 영문 원문
Siemens develops control and integration for Humanoid's HMND01 Alpha tote-handling trials at its Erlangen factory.
근거 범위
Joint announcement, 2026-04-16: factory validation and trial performance targets.
출처
Skild AI N073Next 100
기여 · 영문 원문
Multi-robot manipulation
선정 근거 · 영문 원문
Skild develops robot manipulation through tests and partner pilots. Zebra announced the sale of its Robotics Automation business to Skild in April 2026.
근거 범위
Company and transaction announcements; Fetch records provide historical business context, and reported deployment and ARR lack independent verification.
출처
Sony N074Next 100
기여 · 영문 원문
Tool-use learning
선정 근거 · 영문 원문
Sony and Edinburgh researchers trained a physical Franka robot to use tools from a small number of demonstrations.
근거 범위
Joint research report; evidence concerns physical experiments, with commercial robot sales and household deployment outside that scope.
출처
Spirit AI N075Next 100
기여 · 영문 원문
Physical policy deployment support
선정 근거 · 영문 원문
Spirit provides documentation for fine-tuning PI05 and deploying inference on a physical Moz robot.
근거 범위
Spirit’s support documentation describes PI05 fine-tuning and inference on Moz. Source access requires a support key.
출처
Standard Bots N103Next 100
기여 · 영문 원문
Robot development and education
선정 근거 · 영문 원문
Standard Bots combines physical robots with development and education packages, extending its equipment offering toward learning from demonstrations.
근거 범위
Standard Bots provides physical robots with development and education packages. It is separate from Standard Robots in China.
출처
Sunday N076Next 100
기여 · 영문 원문
Household robotics development
선정 근거 · 영문 원문
Sunday describes kitchen and household-task development with specific technical stages and a late-2026 beta plan.
근거 범위
Sunday describes household-task development and a beta planned for late 2026.
출처
TARS Robotics N078Next 100
기여 · 영문 원문
Manipulation data and devkits
선정 근거 · 영문 원문
TARS provides devkits and data repositories supporting WIYH physical-manipulation learning.
근거 범위
WIYH paper, devkit and repository documentation. Chronology follows the cited paper's publication record.
출처
Tencent N079Next 100
기여 · 영문 원문
Robot platform integration
선정 근거 · 영문 원문
Tencent’s platform describes model and RoboFusion components used in a Unitree G1 trial at Dunhuang’s digital exhibition center.
근거 범위
Official platform account of the pilot, with hardware contributions by Unitree and EngineAI.
출처
Tesla N080Next 100
기여 · 영문 원문
Humanoid production preparation
선정 근거 · 영문 원문
Tesla’s Q2 2026 materials describe Optimus production-line installation, training-data collection and autonomy-compute infrastructure.
근거 범위
Company production-preparation records; installation, production completion and customer acceptance have separate status.
출처
Torc Robotics N108Next 100
기여 · 영문 원문
Autonomous highway-freight validation
선정 근거 · 영문 원문
Torc validates a highway-freight driving system using production-intent hardware in driver-out closed-course tests. Its public-road testing and commercial-launch target describe a continuing development programme.
근거 범위
Torc validation announcement, 2024-10-29: driver-out multilane closed-course testing; live FAQ accessed October 2026: public-road safety drivers and planned 2027 commercialization.
출처
Toyota Motor Corporation / Toyota Research Institute N107Next 100
기여 · 영문 원문
Whole-body manipulation-policy development
선정 근거 · 영문 원문
Toyota Research Institute jointly develops language-conditioned large behavior models with Boston Dynamics. The partners connect teleoperated training data to physical Atlas manipulation and recovery tests.
근거 범위
Boston Dynamics joint technical account, accessed October 2026: real-robot and simulated data collection, policy training, and Atlas workshop manipulation evaluation.
출처
Vayu Robotics N081Next 100
기여 · 영문 원문
Learned delivery mobility
선정 근거 · 영문 원문
Vayu’s 2024 announcement describes a physical delivery robot combining transformer-based movement with passive optical sensors, plus application to wheeled platforms.
근거 범위
Company development report and announcement of a 2,500-unit deployment contract.
출처
Vention N082Next 100
기여 · 영문 원문
Industrial perception tools
선정 근거 · 영문 원문
Vention provides the GRIIP SDK and describes RapidOperator AI handling object variation and retrying failed tasks.
근거 범위
Vention’s documentation describes SDK-based perception and retry handling, using NVIDIA development infrastructure.
출처
Vueron N083Next 100
기여 · 영문 원문
Road sensing trials
선정 근거 · 영문 원문
Vueron describes road tests with defined US routes and safety-driver conditions, alongside a documented 2021 Korean trial.
근거 범위
Vueron’s test material specifies road routes and safety-driver conditions, including a documented Korean trial in 2021.
출처
Waabi N084Next 100
기여 · 영문 원문
Autonomous truck integration
선정 근거 · 영문 원문
Waabi completed integration with a truck platform confirmed by the OEM, taking its simulation-based model toward physical deployment.
근거 범위
The OEM announcement confirms Waabi integration with a physical truck platform.
출처
Wayve N112Next 100
기여 · 영문 원문
Linguistic driving-control research
선정 근거 · 영문 원문
Wayve's LINGO-2 research model jointly predicts driving trajectories and commentary, with a closed-loop Central London public-road demonstration. Separate Ghost Gym trials compare manoeuvres under different language prompts; explanation/action alignment and reliable real-world language control remain research questions.
근거 범위
Wayve, 2024-04-17, LINGO-2 architecture and research demonstrations: public-road trajectory execution with commentary in Central London; language-conditioned manoeuvre comparisons in Ghost Gym simulation; open alignment and real-world language-control research.
출처
WIRobotics N085Next 100
기여 · 영문 원문
Research robot models
선정 근거 · 영문 원문
WIRobotics publishes MJCF, URDF and USD models, replay examples and evaluation procedures for its v2 research prototype.
근거 범위
WIRobotics releases research models and replay tools. USD support is experimental, Gazebo is unsupported and mesh use is restricted to evaluation.
출처
Wonik Robotics N086Next 100
기여 · 영문 원문
Sensing robot hands
선정 근거 · 영문 원문
Wonik’s Allegro V6 F adds contact sensing and a control interface, extending its hand platform for learning-data development.
근거 범위
Wonik’s September 2026 release specifies V6 F contact sensing and control interfaces; investment funding is described as planned.
출처
World Labs N087Next 100
기여 · 영문 원문
Generated robotics simulation development
선정 근거 · 영문 원문
World Labs supplies Marble-generated worlds for two named researchers' robotics simulation experiments, with exported scenes and manually added task assets.
근거 범위
World Labs case, 2025-11-12: exploratory MuJoCo/RoboSuite and Isaac Sim workflows; generated scenes and task-development experiments.
출처
X Square Robot N088Next 100
기여 · 영문 원문
Policy training tools
선정 근거 · 영문 원문
X Square provides a documented LeRobot integration with training and deployment procedures.
근거 범위
Official LeRobot guidance describes X Square’s policy training and deployment integration, separate from Galaxea’s G0 hardware.
출처
Xiaomi N089Next 100
기여 · 영문 원문
Physical action-model research
선정 근거 · 영문 원문
Xiaomi publishes model and code paths for physical tasks including LEGO disassembly and towel folding.
근거 범위
Physical manipulation experiments, including LEGO disassembly and towel folding, with published model and code resources.
출처
Xingyuanzhi N092Next 100
기여 · 영문 원문
Robot perception and action development
선정 근거 · 영문 원문
Xingyuanzhi describes RoboBrain Pro, a jointly developed EP loading and unloading product, robot integration and physical cleaning work.
근거 범위
Company history and product material; customer-scale and team-background statements have separate evidence scope.
출처
XPENG Robotics / IRON N090Next 100
기여 · 영문 원문
Humanoid hardware development
선정 근거 · 영문 원문
XPENG describes IRON’s physical autonomous walking, onboard model and production-line development.
근거 범위
XPENG’s announcement describes physical walking and onboard-model development; 2027 deliveries are planned.
출처
Yuequan Bionic N093Next 100
기여 · 영문 원문
Biomimetic hand prototypes
선정 근거 · 영문 원문
Yuequan Bionic’s hand prototype performed movements observed in an exhibition report.
근거 범위
The exhibition account describes a hand prototype performing remote movement imitation without naming its exact model.
출처
Abhinav Gupta P001Influence 50
기여 · 영문 원문
Semantic navigation research
선정 근거 · 영문 원문
Abhinav Gupta co-developed SemExp, separating semantic goal selection from path planning in robot navigation.
근거 범위
CMU’s account and the research abstract identify Gupta’s joint SemExp contribution.
출처
Anca Dragan P002Influence 50
기여 · 영문 원문
Intent-aware motion planning
선정 근거 · 영문 원문
Anca Dragan’s dissertation incorporates an observer’s inference of intent into motion planning and evaluates physical collaboration.
근거 범위
Dragan’s dissertation records intent-aware planning and joint physical-collaboration research.
출처
Andrea Thomaz P003Influence 50
기여 · 영문 원문
Hospital delivery product strategy
선정 근거 · 영문 원문
Andrea Thomaz explains choosing interdepartmental item delivery as the hospital robot’s product task.
근거 범위
Founder interview describing the contribution, with Vivian Chu and the product team sharing the work.
출처
Brett Adcock P043Influence 50
기여 · 영문 원문
Humanoid industrial strategy
선정 근거 · 영문 원문
Brett Adcock’s named plan chose manufacturing and logistics as early humanoid applications, emphasizing repetitive work in human environments.
근거 범위
Public strategic plan; BMW negotiations, Helix design and commercial returns have separate attribution.
출처
Chelsea Finn E006Influence 50
기여 · 영문 원문
Robot-policy research and training
선정 근거 · 영문 원문
Chelsea Finn contributed policy training and research to pi0.5.
근거 범위
The joint paper's Appendix A-A names Finn under policy training and research. MAML authorship and public-code reuse are separately documented contributions.
출처
Chen Jianyu P004Influence 50
기여 · 영문 원문
Corresponding research authorship
선정 근거 · 영문 원문
Jianyu Chen is the corresponding author of DWL, contributing to its joint research publication.
근거 범위
Paper author information; Gu, Wang, Zhu and Shi retain their stated equal project-lead contributions.
출처
Cheon Hong-seok P048Influence 50
기여 · 영문 원문
Shared robotics business management
선정 근거 · 영문 원문
Cheon Hong-seok describes product launches, initial fundraising and donations to medical institutions in a joint interview with Cheon Yeong-seok.
근거 범위
Government-supported program interview; evidence concerns shared management choices and their stated execution.
출처
Chris Urmson P005Influence 50
기여 · 영문 원문
Driverless-trucking operating decision
선정 근거 · 영문 원문
In May 2025, Chris Urmson explained Aurora’s decision to move an observer to the front seat at vehicle partner PACCAR’s request. Aurora said the observer would not drive.
근거 범위
Aurora statement dated 16 May 2025, describing a partner-requested seating change. The observer’s non-driving role is Aurora’s account, not an independent operational finding.
출처
Deepak Pathak P007Influence 50
기여 · 영문 원문
Adaptive locomotion research
선정 근거 · 영문 원문
Deepak Pathak co-developed Rapid Motor Adaptation with Ashish Kumar, Zipeng Fu and Jitendra Malik.
근거 범위
CMU attributes RMA co-development to Pathak and collaborators in physical adaptive-walking research.
출처
Ding Han P029Influence 50
기여 · 영문 원문
Robotic surface-machining leadership
선정 근거 · 영문 원문
Ding Han led a project on robotic machining of large complex surfaces, with documented joint development and industrial application pathways.
근거 범위
University report covering eight institutions and 30 researchers; application and performance claims are institution-reported.
출처
Euisun Chung P008Influence 50
기여 · 영문 원문
Strategic ownership participation
선정 근거 · 영문 원문
Euisun Chung participated as a distinct party in the Boston Dynamics ownership and share-subscription agreement alongside Hyundai affiliates.
근거 범위
SoftBank’s 2020 agreement announcement; valuation and combined ownership have separate scope from personal payments and completed funding.
출처
Hang Zhao P034Influence 50
기여 · 영문 원문
Foundation-model research leadership
선정 근거 · 영문 원문
Hang Zhao co-led foundation-model research with Huazhe Xu.
근거 범위
University account and profile; the role is joint research leadership, with company revenues and model-wide results separately attributed.
출처
Hod Lipson P011Influence 50
기여 · 영문 원문
Robot self-modeling research
선정 근거 · 영문 원문
Hod Lipson contributed to research conception, analysis support and review of robot self-modeling work.
근거 범위
Published contribution statement; Hu and Lin retain their specified method, software, analysis and drafting roles.
출처
Huang Xiaoqing P050Influence 50
기여 · 영문 원문
Cloud-robot control research
선정 근거 · 영문 원문
Huang Xiaoqing co-authored research describing HARI and Igor and their implementations.
근거 범위
Named joint authorship; individual technical divisions are unpublished, while company-wide results retain organizational attribution.
출처
Hyoun Jin Kim P040Influence 50
기여 · 영문 원문
Aerial-manipulation research
선정 근거 · 영문 원문
Hyoun Jin Kim contributed to aerial-manipulation research that demonstrated physical door opening.
근거 범위
Seoul National University's account identifies Kim's joint aerial-manipulation research and the team's physical door-opening demonstration without assigning individual control-design components.
출처
In So Kweon P038Influence 50
기여 · 영문 원문
DRC-HUBO joint research leadership
선정 근거 · 영문 원문
In So Kweon co-led Team KAIST with Jun-Ho Oh and Rainbow researchers at the 2015 DARPA Robotics Challenge. Their DRC-HUBO robot completed the competition’s eight tasks and won the finals.
근거 범위
KAIST’s June 2015 competition report identifies shared team leadership and the completed course. It attributes the result to the team rather than assigning individual vision or depth algorithms to Kweon.
출처
Jaeheung Park P042Influence 50
기여 · 영문 원문
Balance-control research
선정 근거 · 영문 원문
Jaeheung Park co-authored CP-MPC balance-control research reporting physical and simulated validation.
근거 범위
Paper authorship and abstract identify Park’s joint CP-MPC balance-control research.
출처
Jeff Cardenas P012Influence 50
기여 · 영문 원문
Industrial market-entry strategy
선정 근거 · 영문 원문
Jeff Cardenas describes a funding strategy focused on development and early entry into industrial customer applications.
근거 범위
Founder interview and reporting on shared business decisions; technical design, contract terms and cash recovery have separate attribution.
출처
Jemin Hwangbo P049Influence 50
기여 · 영문 원문
Sim-to-real control research
선정 근거 · 영문 원문
Jemin Hwangbo contributed ideas, learned control and simulation design in joint sim-to-real research.
근거 범위
Published contribution table; experiments are shared and the recovery policy is attributed to J.L., with later Korean commercial use assessed separately.
출처
Jensen Huang P013Influence 50
기여 · 영문 원문
Robotics platform strategy
선정 근거 · 영문 원문
Jensen Huang presented the public platform direction and releases of GR00T, Cosmos and Isaac.
근거 범위
Public strategy and launch statements; NVIDIA engineers and robot manufacturers retain model, SDK and integration contributions.
출처
Jonathan Hurst P014Influence 50
기여 · 영문 원문
Biped hardware design
선정 근거 · 영문 원문
Jonathan Hurst explains Cassie’s design choices, including changes to motor interaction, steering, feet and enclosure compared with ATRIAS.
근거 범위
Designer explanation and university account; co-founders and university teams retain joint hardware and control contributions.
출처
Ken Goldberg P016Influence 50
기여 · 영문 원문
Learned grasping research
선정 근거 · 영문 원문
Ken Goldberg co-created Dex-Net with Jeff Mahler, providing a shared research output for learned grasping.
근거 범위
Official project attribution, with AUTOLAB and the paper's co-authors sharing the research contribution.
출처
Kim Yong-jae P039Influence 50
기여 · 영문 원문
Lightweight assistive-robot research
선정 근거 · 영문 원문
Kim Yong-jae’s university profile connects clutch and lightweight-design research with WIRobotics product development.
근거 범위
University profile and company co-founding history, with Lee Yeon-baek and the research teams sharing the work.
출처
Kyoungchul Kong P037Influence 50
기여 · 영문 원문
Assistive-robot team leadership
선정 근거 · 영문 원문
Kyoungchul Kong led a Cybathlon team developing and executing assistive-robot tasks.
근거 범위
Personal CV; Kim Seung-hwan was the pilot, while the engineering team retains shared development credit.
출처
Kyu-Jin Cho P047Influence 50
기여 · 영문 원문
Variable-stiffness robotic design
선정 근거 · 영문 원문
Kyu-Jin Cho served as corresponding author on a folding drone arm and explained its variable-stiffness design.
근거 범위
Joint research and Cho’s design explanation concern the folding robotic arm, with named co-authors retaining their roles.
출처
Leng Xiaokun P041Influence 50
기여 · 영문 원문
Humanoid research funding strategy
선정 근거 · 영문 원문
Leng Xiaokun describes reinvesting income from smaller products into large-robot research.
근거 범위
Interview published by his university; evidence concerns a funding choice, with company-wide technology and delivery results separately attributed.
출처
Linxi “Jim” Fan P017Influence 50
기여 · 영문 원문
Reward-generation research
선정 근거 · 영문 원문
Jim Fan co-led Eureka and served as corresponding author on research generating and optimizing reward code for robot learning.
근거 범위
Joint research with Anima Anandkumar and collaborators; the reported 29-environment evaluation is simulation-based.
출처
Marc Raibert P018Influence 50
기여 · 영문 원문
Dynamic locomotion research
선정 근거 · 영문 원문
Marc Raibert pioneered and led research in dynamic legged locomotion.
근거 범위
Documented historical contribution; later Atlas decisions retain team-level attribution.
출처
Masayoshi Son P019Influence 50
기여 · 영문 원문
Strategic transaction decisions
선정 근거 · 영문 원문
Masayoshi Son and Yoshimitsu Goto received delegated authority to determine the final terms of SoftBank’s ABB Robotics acquisition agreement. The board resolution and October 2025 agreement document his role in that capital decision.
근거 범위
SoftBank's October 2025 acquisition agreement, subject to closing conditions, and the board's delegation of final terms-setting authority.
출처
Melonee Wise P020Influence 50
기여 · 영문 원문
Product and engineering organization
선정 근거 · 영문 원문
Melonee Wise describes building and reorganizing Agility’s engineering and product teams, alongside technology-roadmap work at Zebra.
근거 범위
Personal 2025 résumé and 2022 employer statement; evidence concerns historical responsibilities rather than a verified current position.
출처
Nick Paine P021Influence 50
기여 · 영문 원문
Actuator design and control
선정 근거 · 영문 원문
Nick Paine’s dissertation documents UT-SEA design and control research, including application of some control methods to Valkyrie.
근거 범위
Named dissertation abstract describing the specified technical work.
출처
Nikita Rudin P051Influence 50
기여 · 영문 원문
Parallel locomotion-training research
선정 근거 · 영문 원문
Nikita Rudin co-authored a massively parallel locomotion-training approach and curriculum evaluated on ANYmal and transferred to a physical robot.
근거 범위
Joint research with David Hoeller, Philipp Reist and Marco Hutter; repository records separately document public code and outside reuse.
출처
Oh Jun Ho E019Influence 50
기여 · 영문 원문
DRC-HUBO joint research leadership
선정 근거 · 영문 원문
Oh Jun Ho co-led Team KAIST with In So Kweon and Rainbow researchers in the 2015 DARPA Robotics Challenge.
근거 범위
KAIST documents joint team leadership and competition task completion, alongside HUBO platform development and use by outside research teams.
출처
Oussama Khatib P022Influence 50
기여 · 영문 원문
Underwater teleoperation research
선정 근거 · 영문 원문
Oussama Khatib led OceanOne research and contributed to a remotely operated underwater recovery task.
근거 범위
2016 human-teleoperation case; subsequent OceanOneK work and commercial results have separate scope.
출처
Park Jong Hoon P023Influence 50
기여 · 영문 원문
Vertical-integration strategy
선정 근거 · 영문 원문
Park Jong Hoon describes choosing vertical integration after encountering limits in demand.
근거 범위
Interview republished by the company; design, manufacturing and solution teams share product-execution credit.
출처
Peng Zhihui P024Influence 50
기여 · 영문 원문
Robot product-development leadership
선정 근거 · 영문 원문
Peng Zhihui led X-Lab development associated with the 2025 X2 release.
근거 범위
An event-organizer profile identifies Peng’s joint development leadership on X2.
출처
Qiao Hong P030Influence 50
기여 · 영문 원문
Robot control-method research
선정 근거 · 영문 원문
Qiao Hong proposed an environment-attractor-region method explicitly attributed to her by CAS.
근거 범위
CAS’s profile attributes the method proposal to Qiao; team members retain application and implementation contributions.
출처
Richie Chen P035Influence 50
기여 · 영문 원문
ACR co-development
선정 근거 · 영문 원문
Richie Chen participated with Shengdong Xu and Bing Fang in developing ACR after warehouse visits.
근거 범위
The official white paper describes joint ACR development by Richie Chen, Shengdong Xu and Bing Fang.
출처
Rodney Brooks P025Influence 50
기여 · 영문 원문
Layered robot control
선정 근거 · 영문 원문
Rodney Brooks proposed layered robot control in an authored paper. Later researchers explicitly implemented the method.
근거 범위
Historical original research and subsequent paper; reported simulations and industrial deployments retain distinct status.
출처
Rolf Dieter Schraft E021Influence 50
기여 · 영문 원문
Robot-programming method research
선정 근거 · 영문 원문
Rolf Dieter Schraft co-authored robot-programming and trajectory-adaptation research with C. Meyer for a gluing robot cell.
근거 범위
The official 2006 abstract describes geometric trajectory primitives and a triangulation-based trajectory metric for robot programming.
출처
Sabine Hauert P026Influence 50
기여 · 영문 원문
Swarm-control research leadership
선정 근거 · 영문 원문
Sabine Hauert co-directed research on explainable swarm control.
근거 범위
Joint research and experiments; the university account places field application at a later stage.
출처
Seok Sang-ok P044Influence 50
기여 · 영문 원문
Integrated robotics service strategy
선정 근거 · 영문 원문
Seok Sang-ok presented a direction for shared human-robot spaces and integrated services in 2019, later reflected in NAVER 1784’s operating pathway.
근거 범위
Public strategy and subsequent team-operation accounts; development, architecture, cloud and service implementation retain shared credit.
출처
Sergey Levine P027Influence 50
기여 · 영문 원문
Learned visual-feedback research
선정 근거 · 영문 원문
Sergey Levine co-authored learned visual-feedback grasping research and explained its use of large-scale physical interaction in a signed Google research article.
근거 범위
Joint research with Pastor, Krizhevsky and Quillen, accompanied by Levine’s signed explanation of the research approach.
출처
Wang Hesheng P033Influence 50
기여 · 영문 원문
Joint perception research
선정 근거 · 영문 원문
Wang Hesheng served as corresponding author and co-author of FlowDet-Track.
근거 범위
FlowDet-Track author information identifies Wang’s corresponding-author and joint-publication roles.
출처
Wang Tianran E033Influence 50
기여 · 영문 원문
Industrial robot product-development leadership
선정 근거 · 영문 원문
Wang Tianran led historical integration of team-developed controllers with purchased robot bodies and pursued factory applications.
근거 범위
SIA's retrospective attributes product-development and market-entry decisions to Wang and reports applications at Shenyang Jinbei Seat Factory and Anshan Excavator Factory; controller teams and later Siasun contributors share credit.
출처
Wang Xingxing P028Influence 50
기여 · 영문 원문
Quadruped design and control
선정 근거 · 영문 원문
Wang Xingxing designed XDog and held development responsibility for a quadruped group-control system.
근거 범위
Shanghai University alumni account; team development and later Unitree business results retain separate attribution.
출처
Wang Yaonan P032Influence 50
기여 · 영문 원문
Industrial inspection project leadership
선정 근거 · 영문 원문
Wang Yaonan led a pharmaceutical robotic visual-inspection and control project documented by Hunan University.
근거 범위
2019 institutional account, with researchers, equipment makers and application companies sharing the contribution.
출처
Zhao Mingguo E034Influence 50
기여 · 영문 원문
Joint humanoid-soccer research leadership
선정 근거 · 영문 원문
Zhao Mingguo's team developed vision-driven reactive soccer research; Zhao served as corresponding author and Wang Yushi as first author.
근거 범위
Tsinghua reports physical Booster T1 tasks and competition use, crediting student researchers, partner institutions, hardware and test-site support.
출처
Zhou Jian P046Influence 50
기여 · 영문 원문
Humanoid research investment
선정 근거 · 영문 원문
Zhou Jian decided to fund and continue large-humanoid research in 2015 despite internal objections, according to a retrospective account.
근거 범위
A retrospective article attributes a 2015 humanoid research-funding decision to Zhou.
출처
Zhu Qiuguo P031Influence 50
기여 · 영문 원문
Quadruped stability-control research
선정 근거 · 영문 원문
Zhu Qiuguo held a principal research role in dynamic stability control for the Jueying quadruped.
근거 범위
2019 university research announcement; later DEEP Robotics operations and customer outcomes have separate scope.
출처
Aaron Ames E001Ecosystem Builders 50
기여 · 영문 원문
Shared gait-planning tools
선정 근거 · 영문 원문
Aaron Ames co-authored FROST with Hereid, providing a public MATLAB tool for gait planning.
근거 범위
Caltech repository attribution and simulation examples; authorship is shared and examples concern simulation.
출처
Aaron Prather E002Ecosystem Builders 50
기여 · 영문 원문
Industry testing workshops
선정 근거 · 영문 원문
Aaron Prather co-organized a 2025 workshop bringing together research, industry and testing participants, with named presentation materials.
근거 범위
Workshop organization and presentation records; Beiter, Saidi, Sentis and other contributors retain their roles.
출처
Andra Keay E003Ecosystem Builders 50
기여 · 영문 원문
Robotics community support
선정 근거 · 영문 원문
Andra Keay provided advice, community connections and sustained support described in Women in Robotics records and Sue Keay’s account.
근거 범위
Organizational records and testimony from her sister; independent industry-wide effects remain unmeasured.
출처
Ayanna Howard E004Ecosystem Builders 50
기여 · 영문 원문
Accessible STEM technology transfer
선정 근거 · 영문 원문
Ayanna Howard describes founding Zyrobotics after NSF I-Corps participation and licensing laboratory technology into STEM products for children.
근거 범위
Howard’s university interview describes historical licensing and accessible STEM-product development.
출처
Brian Gerkey E005Ecosystem Builders 50
기여 · 영문 원문
Open robotics architecture
선정 근거 · 영문 원문
Brian Gerkey co-designed ROS and ROS 2 and helped connect open robotics development across institutions, including a documented NVIDIA collaboration.
근거 범위
Joint design and partner records; Tully Foote and the wider developer community retain their technical contributions.
출처
Bruce Leak E052Ecosystem Builders 50
기여 · 영문 원문
Founder and board support
선정 근거 · 영문 원문
Bruce Leak co-founded Playground and served on Agility Robotics’ board, supporting founders and capital access.
근거 범위
Founding and board-participation records; investment amounts, technical design and portfolio outcomes remain separately attributed.
출처
Cho Kyu-nam E047Ecosystem Builders 50
기여 · 영문 원문
Public industry discussion
선정 근거 · 영문 원문
Cho Kyu-nam moderated a July 2024 discussion, asking concrete questions about industrial competitiveness, market entry and infrastructure.
근거 범위
The 2024-07-24 roundtable transcript records Cho’s questions and the participants’ responses.
출처
Christian Hubicki E007Ecosystem Builders 50
기여 · 영문 원문
Control and simulation education
선정 근거 · 영문 원문
Christian Hubicki led optimal-control and simulation teaching at IMSI, with links to code and answers for participants.
근거 범위
An IMSI workshop page provides Hubicki’s teaching record and links to code and answers.
출처
Craig Schlenoff E008Ecosystem Builders 50
기여 · 영문 원문
Shared robotics evaluation
선정 근거 · 영문 원문
Craig Schlenoff contributed conceptualization, project management, supervision and drafting to ARIAC’s shared evaluation work.
근거 범위
The available published contribution statement credits conceptualization, project management, supervision and drafting of the shared ARIAC evaluation work.
출처
Cyril Ebersweiler E053Ecosystem Builders 50
기여 · 영문 원문
Hardware startup support
선정 근거 · 영문 원문
Cyril Ebersweiler helped found and operate HAX, with Neptune Robotics documenting use and subsequent support.
근거 범위
Shared incubator and beneficiary records; beneficiary technology and investment-wide outcomes retain separate attribution.
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Daniela Rus P006Ecosystem Builders 50
기여 · 영문 원문
Robotics doctoral mentoring
선정 근거 · 영문 원문
Daniela Rus supervised Joseph DelPreto's completed doctorate and supported his research direction and lab community.
근거 범위
The dissertation identifies Rus as thesis supervisor and acknowledges her guidance; MIT separately credits Rus and DelPreto as Conduct-A-Bot coauthors.
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Dennis Hong E009Ecosystem Builders 50
기여 · 영문 원문
Research and education platforms
선정 근거 · 영문 원문
Dennis Hong led RoMeLa’s public robotics platforms for research and education.
근거 범위
Platform and education records, with students, research teams and ROBOTIS sharing hardware and software contributions.
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Elena Messina E010Ecosystem Builders 50
기여 · 영문 원문
Joint standards and testing
선정 근거 · 영문 원문
Elena Messina contributed to named joint standards and testing outputs for robotics.
근거 범위
Documented joint standards and test contributions; individual and institutional functions retain separate attribution.
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Elham Tabassi E011Ecosystem Builders 50
기여 · 영문 원문
AI risk-management framework
선정 근거 · 영문 원문
Elham Tabassi authored NIST’s publicly available AI RMF 1.0, providing risk-management language reusable in Physical AI procurement and trust discussions.
근거 범위
NIST author attribution and framework publication; this is a cross-domain AI framework, with robot-specific safety certification assessed separately.
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Erico Guizzo E012Ecosystem Builders 50
기여 · 영문 원문
Robotics editorial resources
선정 근거 · 영문 원문
Erico Guizzo co-created the concept and content of Robots Guide, providing an editorial route into robotics knowledge.
근거 범위
Project attribution; Randi Klett, Evan Ackerman and the design and development teams retain shared contributions, with readership effects unmeasured.
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Fei-Fei Li E013Ecosystem Builders 50
기여 · 영문 원문
Shared vision data and challenges
선정 근거 · 영문 원문
Fei-Fei Li helped build ImageNet’s shared dataset and challenge, which drew participation from multiple institutions.
근거 범위
ImageNet’s historical data and 2010 challenge records identify shared author and organizer contributions.
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Francesca Rossi E014Ecosystem Builders 50
기여 · 영문 원문
Autonomous-system design ethics
선정 근거 · 영문 원문
Francesca Rossi co-chaired IEEE EAD’s embedding-values committee and participated in named IBM research.
근거 범위
IEEE committee record and joint research; the contribution concerns public design knowledge rather than product certification.
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Geordie Rose P009Ecosystem Builders 50
기여 · 영문 원문
Robotics partner investment and support
선정 근거 · 영문 원문
Geordie Rose describes building robotics partnerships through investment and licensing; Apptronik's CEO credits his board support.
근거 범위
Sanctuary's signed retrospective and partner quotation describe corporate partnerships, investment and board support.
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Gill Pratt P010Ecosystem Builders 50
기여 · 영문 원문
Shared robotics test-program leadership
선정 근거 · 영문 원문
Gill Pratt led DARPA's Robotics Challenge program, providing common disaster-response tasks and test conditions for competing robot teams.
근거 범위
DARPA identifies Pratt as program manager and describes human-supervised systems and degraded communications; participating teams contributed their hardware, software and algorithms.
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Han Jae-kwon E050Ecosystem Builders 50
기여 · 영문 원문
Public robotics education
선정 근거 · 영문 원문
Han Jae-kwon and Lee Byung-joo delivered robotics lectures at Hanyang's August 2022 Robot Day.
근거 범위
Hanyang reports lectures, demonstrations and robot-making activities. The separate HERoEHS team paper credits Han with ALICE's mechanical design and Younseal Eum with exterior design.
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He Wang E044Ecosystem Builders 50
기여 · 영문 원문
Shared dexterous-grasp benchmark and tools
선정 근거 · 영문 원문
He Wang was corresponding author of BODex's joint benchmark, data and code release; UltraDexGrasp documents adapting its code.
근거 범위
BODex names Jiayi Chen and Yubin Ke as equal contributors. UltraDexGrasp's README identifies its adapted BODex API and credits the upstream code.
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Henrik Christensen E015Ecosystem Builders 50
기여 · 영문 원문
Shared robotics roadmaps
선정 근거 · 영문 원문
Henrik Christensen served as a principal writer of repeated Robotics Roadmap editions, organizing a shared research agenda.
근거 범위
UCSD attribution and joint roadmap publications, with co-authors and workshop participants sharing the contribution.
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Jiyang Gao P036Ecosystem Builders 50
기여 · 영문 원문
Dataset-and-model programme coordination
선정 근거 · 영문 원문
Jiyang Gao co-supervised Galaxea's dataset-and-model research programme with Hang Zhao and Huazhe Xu. This entry recognizes coordination of the team's shared research capability.
근거 범위
The paper describes the dataset and G0 model; Section 8 names the three supervisors and separately credits dataset operations and policy training. Version 1 announced public release as a forthcoming step.
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Jung Kim E036Ecosystem Builders 50
기여 · 영문 원문
Startup-development programs
선정 근거 · 영문 원문
Jung Kim led KAIST’s Robot Valley program, with the university identifying actual startup-competition beneficiaries.
근거 범위
University program account; operations are shared and new model and robotic-skin plans retain planned status.
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Karol Hausman P015Ecosystem Builders 50
기여 · 영문 원문
Robot-learning infrastructure
선정 근거 · 영문 원문
Karol Hausman contributed robot infrastructure and writing to pi0.5.
근거 범위
Appendix A-A attributes robot infrastructure and writing to Hausman within the joint research team.
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Li Zexiang E016Ecosystem Builders 50
기여 · 영문 원문
Startup education and manufacturing support
선정 근거 · 영문 원문
Li Zexiang connects practical education with startup mentoring, early capital and supply-chain support through documented ecosystem-building work.
근거 범위
University account of shared X-Tech and XbotPark activities; company-specific effects and current support outcomes lack independent measurement.
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Liang Jing E037Ecosystem Builders 50
기여 · 영문 원문
Standards working-group operations
선정 근거 · 영문 원문
Liang Jing organized and chaired work described in official annual-meeting records, including organizational reporting and an open project call.
근거 범위
Official meeting record; standards-system publication and individual product testing or certification have separate scope.
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Lior Susan E051Ecosystem Builders 50
기여 · 영문 원문
Industrial startup organization
선정 근거 · 영문 원문
Lior Susan helped establish Eclipse and organized Bright Machines’ founding, separation and funding support.
근거 범위
Participant interview concerning startup and organizational work; portfolio-wide results retain company and team attribution.
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Liu Lianqing E030Ecosystem Builders 50
기여 · 영문 원문
Robotics doctoral supervision
선정 근거 · 영문 원문
Liu Lianqing supervised named completed doctoral research by Zhou Peilin.
근거 범위
Institute records of supervision and research; students and co-authors retain their technical contributions.
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Matt Beane E017Ecosystem Builders 50
기여 · 영문 원문
Work and skill-transition research
선정 근거 · 영문 원문
Matt Beane published long-term field research on robotic surgery and shadow learning, contributing knowledge about work and training transitions.
근거 범위
UCSB research account and published study; observations and measured effects of training-system changes have separate scope.
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Matthew Johnson-Roberson E018Ecosystem Builders 50
기여 · 영문 원문
Robotics doctoral supervision
선정 근거 · 영문 원문
Matthew Johnson-Roberson advised Tianyi Zhang's completed doctorate on underwater 3D visual perception and generation.
근거 범위
CMU records the August 2025 doctorate and advisor. Johnson-Roberson also co-authored synthetic-data research described in Driving in the Matrix.
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Mayank Mittal E055Ecosystem Builders 50
기여 · 영문 원문
Public robot-learning infrastructure
선정 근거 · 영문 원문
Mayank Mittal led development work on Isaac Lab, providing public code reused in robotics learning research.
근거 범위
Development attribution and application research; NVIDIA, ETH and other developers retain shared credit, with full replication unperformed.
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Morgan Quigley E056Ecosystem Builders 50
기여 · 영문 원문
ROS architecture
선정 근거 · 영문 원문
Morgan Quigley co-designed ROS and contributed to its architecture and public development infrastructure.
근거 범위
Original joint research and development records; roles are shared with Gerkey, Foote and other contributors.
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Pieter Abbeel E020Ecosystem Builders 50
기여 · 영문 원문
Robotics-control education
선정 근거 · 영문 원문
Pieter Abbeel repeatedly provided robotics-control education with documented student activities.
근거 범위
Course and student-activity records; the contribution concerns education infrastructure, with company and investment outcomes separately attributed.
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Qin Xiugong E049Ecosystem Builders 50
기여 · 영문 원문
Shared standards terminology
선정 근거 · 영문 원문
Qin Xiugong co-drafted a foundational standard whose terminology was reused in T/CESA 1450-2025.
근거 범위
Named joint drafting and later terminology references document the foundational standard’s reuse.
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Qu Daokui E048Ecosystem Builders 50
기여 · 영문 원문
Research commercialization
선정 근거 · 영문 원문
Qu Daokui describes commercializing research through a startup team and distinguishes company industrialization from institute research.
근거 범위
Field interview republished by the institute, describing the shared technology-transfer contribution.
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Russ Tedrake E022Ecosystem Builders 50
기여 · 영문 원문
Shared control software
선정 근거 · 영문 원문
Russ Tedrake helped initiate Drake with MIT and Toyota Research Institute.
근거 범위
Official Drake credits; other developers and the institutions retain joint development and support contributions.
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Ryan Gariepy E023Ecosystem Builders 50
기여 · 영문 원문
Developer exchange and education
선정 근거 · 영문 원문
Ryan Gariepy repeatedly participated in and co-led ROSCon, supporting developer exchange and education.
근거 범위
ROSCon opening materials and committee records identify Gariepy’s repeated participation and joint organizing role.
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Rémi Cadène / Remi Cadene E024Ecosystem Builders 50
기여 · 영문 원문
Open robot-learning tools
선정 근거 · 영문 원문
Rémi Cadène led LeRobot, whose development resources appear in external hardware workflows.
근거 범위
Leadership attribution and Trossen documentation; the library is jointly developed and external use has experimental version constraints.
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Shi Lin E039Ecosystem Builders 50
기여 · 영문 원문
Joint evaluation-standard authorship
선정 근거 · 영문 원문
Shi Lin co-authored YD/T 6770-2026, contributing to a common Physical AI evaluation framework.
근거 범위
National standards information names Shi Lin among the co-authors of YD/T 6770-2026.
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Sun Lining E025Ecosystem Builders 50
기여 · 영문 원문
Regional research and talent programs
선정 근거 · 영문 원문
Sun Lining describes establishing a research institute, degree programs and talent-development activities supporting regional industry.
근거 범위
University-published interview describing the historical activities.
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Tom Ryden E026Ecosystem Builders 50
기여 · 영문 원문
Shared facility operations
선정 근거 · 영문 원문
Tom Ryden took on operations supporting shared facilities, programs and resident companies at MassRobotics.
근거 범위
Tom Ryden's March 2022 retrospective describes facility operations and programme development; the founding concept is credited to named founders.
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Tully Foote E027Ecosystem Builders 50
기여 · 영문 원문
ROS units and coordinate conventions
선정 근거 · 영문 원문
Tully Foote co-authored common ROS unit and coordinate conventions with Mike Purvis, supporting compatibility across developers.
근거 범위
Joint REP authorship and ROS 2 message conventions; technical conventions and institutional coordination have distinct attribution.
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Vincent Vanhoucke E028Ecosystem Builders 50
기여 · 영문 원문
Research-team formation
선정 근거 · 영문 원문
Vincent Vanhoucke established a Google robotics research team and participated in subsequent joint research.
근거 범위
Historical official profile and joint outputs; team formation and support are distinguished from individual algorithm design.
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Wang Tianmiao E043Ecosystem Builders 50
기여 · 영문 원문
Talent and startup support
선정 근거 · 영문 원문
Wang Tianmiao supported talent and startup development, with Beihang naming beneficiaries and documenting a scholarship donation.
근거 범위
Beihang’s commemorative account describes talent support, named startup beneficiaries and a scholarship donation.
출처
Wei Kai E045Ecosystem Builders 50
기여 · 영문 원문
Joint evaluation-standard authorship
선정 근거 · 영문 원문
Wei Kai co-authored YD/T 6770-2026, contributing to a specific Physical AI evaluation output.
근거 범위
National standards author listing; evidence covers shared authorship rather than sole clause design or operation of testing institutions.
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Wendy Tan White E054Ecosystem Builders 50
기여 · 영문 원문
Shared development organization
선정 근거 · 영문 원문
Wendy Tan White organized shared robotics development through integration of OSRC’s business and staff, with partner use in actual development tasks.
근거 범위
Management and partner-use records; Gerkey, Kroeger, NVIDIA, DeepMind and other technical contributors retain their roles.
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Xiong Rong E032Ecosystem Builders 50
기여 · 영문 원문
Student research platforms
선정 근거 · 영문 원문
Xiong Rong guided Zhejiang University's robotics competition training and its ZJUNlict student team.
근거 범위
Zhejiang University's November 2007 teaching report names Xiong as supervisor of robotics training. ZJUNlict's team description credits her guidance and successive student teams.
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Yuh Joon-ku E041Ecosystem Builders 50
기여 · 영문 원문
Research-agenda editing
선정 근거 · 영문 원문
Yuh Joon-ku co-edited a research-direction workshop report, providing a historical public research and education resource.
근거 범위
University publication list and NOAA-preserved report cover from 1994 to 1996; evidence concerns joint editing.
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Zhang Jianwei E029Ecosystem Builders 50
기여 · 영문 원문
Multi-institution research coordination
선정 근거 · 영문 원문
Zhang Jianwei coordinated the six-institution RACE robotics consortium from December 2011 to November 2014.
근거 범위
Hamburg names Zhang as coordinator; the joint PR2 evaluation paper credits its authors for architecture, metrics and physical restaurant-task research.
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ARM Institute I001Institutions 50
기여 · 영문 원문
Manufacturing adoption support
선정 근거 · 영문 원문
ARM Institute helped Keystone Ridge move from evaluation and proof of concept through an RFP to installation of a robot cell.
근거 범위
Institute case with customer quotations; evidence concerns the named adoption pathway.
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ASTM F45 I003Institutions 50
기여 · 영문 원문
Mobile-robot performance standards
선정 근거 · 영문 원문
ASTM F45 provides performance-test standards for unmanned mobile tasks, with NIST documenting the technical basis of its first four standards.
근거 범위
NIST’s 2018 record documents publication of ASTM F45’s first four mobile-task performance standards.
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Beijing Humanoid Robot Innovation Center I047Institutions 50
기여 · 영문 원문
Shared robot-training data
선정 근거 · 영문 원문
Beijing Humanoid Robot Innovation Center co-developed RoboMIND, with government material naming external institutions using it for training.
근거 범위
Government development and use report; download counts and unique users are distinct measures, with independent use verification limited.
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BIGAI I004Institutions 50
기여 · 영문 원문
Shared robotics research tools
선정 근거 · 영문 원문
BIGAI co-authored RoboVerse, with RLinf documenting its integration into research workflows.
근거 범위
Named institutional co-authors and external integration account, with partner institutions and existing simulators sharing the contribution.
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CESI I005Institutions 50
기여 · 영문 원문
Embodied-intelligence data-quality guidance co-authorship
선정 근거 · 영문 원문
CESI is a joint drafting organization for GB/Z 218.1-2026, guidance on real-data quality for embodied intelligence, published on 27 August 2026.
근거 범위
The official record classifies the document as technical guidance and lists CESI among its drafters. TC28 has committee responsibility, TC28SC42 is the executing body, and SAC is the supervisory authority.
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CMU Robotics Institute I006Institutions 50
기여 · 영문 원문
Robotics research and education
선정 근거 · 영문 원문
CMU’s Robotics Institute supports robotics research and education. Its NREC partnered with Carnegie Robotics to commercialize robotic components and systems.
근거 범위
CMU’s 2010 partnership record documents NREC technology transfer to Carnegie Robotics; NREC remains within the institute’s activity record.
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DARPA SubT I007Institutions 50
기여 · 영문 원문
Shared physical test environments
선정 근거 · 영문 원문
DARPA’s SubT competition provided shared physical test environments and tasks used by teams including CSIRO Data61, Emesent and Georgia Tech.
근거 범위
Participant account of the competition ending in 2021; team-developed robots and autonomy retain separate attribution.
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DFKI Robotics Innovation Center I008Institutions 50
기여 · 영문 원문
Industrial robotics research
선정 근거 · 영문 원문
DFKI’s Robotics Innovation Center participated in TransFit research with Bremen and Siemens, producing joint research outputs.
근거 범위
The 2017 to 2021 TransFit record covers German research collaboration and published outputs.
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ETRI I009Institutions 50
기여 · 영문 원문
Robotics technology transfer
선정 근거 · 영문 원문
ETRI transferred FMS to Twinny and supported recipient-specific joint development through staff working at the company.
근거 범위
ETRI Webzine Vol.225 documents FMS transfer to Twinny, on-site staff support and joint software adaptation for people working alongside robots.
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euRobotics I010Institutions 50
기여 · 영문 원문
Robotics research ecosystem
선정 근거 · 영문 원문
CORDIS records euRobotics’ coordination of RockEU2 and the launch and operation of two ERL seasons.
근거 범위
Completed project and competition records; market forecasts retain forecast status.
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FAA I011Institutions 50
기여 · 영문 원문
BVLOS package-delivery authorization
선정 근거 · 영문 원문
The FAA authorized Zipline to deliver commercial packages beyond visual line of sight in 2023, establishing a defined regulatory route for the operator.
근거 범위
The FAA’s 2023 authorization covers Zipline commercial-package delivery beyond visual line of sight under the specified approval scope.
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Harvard Wyss Institute I012Institutions 50
기여 · 영문 원문
Assistive-robot research and licensing
선정 근거 · 영문 원문
Harvard Wyss and SEAS researchers developed personalized soft-exosuit assistance from muscle ultrasound and tested it across walking speeds and inclines. Wyss also records technology licensing to ReWalk.
근거 범위
Harvard’s November 2021 account documents joint Wyss and SEAS research and walking tests. The ReWalk licensing record covers a separate technology-transfer activity.
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HIT Robotics Technology and Systems Research Unit I013Institutions 50
기여 · 영문 원문
Physical robotics research infrastructure
선정 근거 · 영문 원문
HIT’s robotics technology and systems research unit supported a learning-method project through resources, supervision and physical-robot experiments.
근거 범위
Project acknowledgments, resource and supervision records, and physical experiments describe the research unit’s support; authors retain algorithm credit.
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HKEX / HKSCC I014Institutions 50
기여 · 영문 원문
Listing and clearing access
선정 근거 · 영문 원문
HKEX and HKSCC provided listing and clearing access used by UBTECH, whose listing began on 2023-12-29.
근거 범위
Issuer listing confirmation and clearing notice; the notice supplies no actual fundraising amount.
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IEC Robotics Product Safety Standards I015Institutions 50
기여 · 영문 원문
Robot-product safety standards
선정 근거 · 영문 원문
IEC robotics-product safety work provides a lawn-robot standard edition cited in a manufacturer’s conformity declaration.
근거 범위
Standard edition and manufacturer declaration; the declaration and an IEC-issued product certificate have different status.
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IFR I016Institutions 50
기여 · 영문 원문
Robot statistics and definitions
선정 근거 · 영문 원문
IFR provides recurring robot statistics and definitions through a documented collection and publication structure.
근거 범위
Industrial and service robotics statistics; coverage differs from the full Physical AI sector and company rankings.
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ISO/TC 299 I017Institutions 50
기여 · 영문 원문
Robotics standards development
선정 근거 · 영문 원문
ISO/TC 299 develops shared robotics standards through published outputs, participating countries and industrial organizations.
근거 범위
Committee and publication records distinguish published standards from standards under development.
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KAIST I018Institutions 50
기여 · 영문 원문
Shared humanoid research platforms
선정 근거 · 영문 원문
KAIST’s HUBO platform supports outside research and education. Drexel describes using HUBO Lab hardware and student software in performances and joint research.
근거 범위
External-user account; university, laboratory and center contributions remain within one institutional record.
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KEIT I020Institutions 50
기여 · 영문 원문
Robotics research funding
선정 근거 · 영문 원문
KEIT supported humanoid balance-recovery research whose paper identifies the funded project and partial support.
근거 범위
2011 paper acknowledgment; KEIT’s funding and management role is distinct from the researchers’ algorithms and experiments.
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KIAT I022Institutions 50
기여 · 영문 원문
Robotics R&D funding
선정 근거 · 영문 원문
KIAT funded project P0014166, whose researchers reported implementation and experiments on a robotics safety testbed.
근거 범위
Completed paper and funding acknowledgment; KIAT provided support while KIRIA researchers implemented and tested the system.
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KIRIA I023Institutions 50
기여 · 영문 원문
Robot testing and certification
선정 근거 · 영문 원문
KIRIA issued KS certification for a wearable-robot product, confirmed in Hyundai’s announcement.
근거 범위
Hyundai's announcement identifies KIRIA's KS certification of the specified non-powered wearable product.
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KITECH I024Institutions 50
기여 · 영문 원문
Robot digital-twin research
선정 근거 · 영문 원문
KITECH researchers connected a physical robot with Isaac Sim and compared forward motion, turning and LiDAR messages.
근거 범위
Completed digital-twin implementation research; automated learning parameters and quantitative network-loss evaluation remain future tasks.
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KRX I050Institutions 50
기여 · 영문 원문
Robotics listing and disclosure access
선정 근거 · 영문 원문
KRX provided KOSPI listing and trading access for Doosan Robotics, documented by the issuer’s completed listing and contract records.
근거 범위
Issuer listing records; subscription deposits and bookbuilding demand have separate scope from newly received issuer funds.
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KTL I025Institutions 50
기여 · 영문 원문
Wearable-robot testing
선정 근거 · 영문 원문
KTL provided testing used by Dari Technology, whose history records wearable-robot IP55, payload and weight test reports.
근거 범위
Recipient’s test-report history; evidence concerns these specific external tests.
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LeRobot / Hugging Face I026Institutions 50
기여 · 영문 원문
Shared robot-learning infrastructure
선정 근거 · 영문 원문
LeRobot provides public code and data formats integrated into an external Trossen hardware workflow.
근거 범위
Project resources and experimental external documentation with version constraints; repository popularity has a different scope from active deployments.
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MassRobotics I027Institutions 50
기여 · 영문 원문
Shared development facilities
선정 근거 · 영문 원문
MassRobotics operates shared development space and experimental resources for named resident companies.
근거 범위
Resident and program records; the residency program provides access and states that it supplies no direct funding or equity investment.
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MIIT I028Institutions 50
기여 · 영문 원문
Robotics application policy
선정 근거 · 영문 원문
MIIT jointly implemented selection and dissemination of 2024 mining-robot applications under the Robot+ plan.
근거 범위
The final application-selection notice records joint policy implementation with the mining-safety authority.
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MIT CSAIL I029Institutions 50
기여 · 영문 원문
Human-robot interaction research
선정 근거 · 영문 원문
MIT CSAIL conducted gesture-control research connecting EMG, learning and physical-drone experiments, with partial Boeing support.
근거 범위
Joint DelPreto and Rus research; Boeing’s role is funding, and Parrot retains drone-hardware credit.
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NASA Jet Propulsion Laboratory I030Institutions 50
기여 · 영문 원문
Planetary robotics operations
선정 근거 · 영문 원문
JPL built and operated a Mars rover whose records describe autonomous perception, planning and physical driving.
근거 범위
Official account accompanying an animation of 2023-07-15 drive data; destination setting and ground-team planning remain part of operations.
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Nasdaq I031Institutions 50
기여 · 영문 원문
Robotics public-market access
선정 근거 · 영문 원문
Nasdaq provided public-market access for Serve through a completed share offering and Nasdaq Capital Market trading.
근거 범위
2024 issuer record; USD 40 million is gross offering proceeds before costs, and the overallotment option has separate execution status.
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National Robot Testing and Evaluation Center, Shanghai Headquarters I048Institutions 50
기여 · 영문 원문
Shanghai robot certification
선정 근거 · 영문 원문
The National Robot Testing and Evaluation Center's Shanghai headquarters issued CR certification for AgiBot Genie G2 through Shanghai Robot Industry Technology Research Institute.
근거 범위
The July 2026 report names the Shanghai implementing carrier; the platform page separately identifies Shanghai Electrical Apparatus Research Institute (Group) Co., Ltd. as the headquarters construction unit.
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New York Stock Exchange / NYSE I053Institutions 50
기여 · 영문 원문
Historical issuer trading access
선정 근거 · 영문 원문
NYSE provided historical trading access for Ouster, recorded in the issuer’s 2021 annual report.
근거 범위
Historical issuer filing; Ouster’s announced December 2024 transfer to Nasdaq is a separate event.
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NHTSA I032Institutions 50
기여 · 영문 원문
Automated-driving recall reporting
선정 근거 · 영문 원문
NHTSA provides public safety-recall reporting, including Waymo's manufacturer-submitted report on an automated-driving flooding hazard.
근거 범위
Recall 26E026, submitted May 6, 2026, records interim operating restrictions and a final remedy under development at filing.
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NIOSH / Center for Occupational Robotics Research I054Institutions 50
기여 · 영문 원문
Occupational robotics hazard research and guidance
선정 근거 · 영문 원문
NIOSH contributed to joint workplace-robotics guidance and published fatality and nonfatal-injury research relevant to worker protection.
근거 범위
Joint guidance credits A3 engineers and NIOSH researchers. The 2023 fatality study covers 1992-2017; the 2026 NIOSH/Ohio study analyzes 1,076 claims from 2001-2020 and credits Ohio's data provision and the joint research team.
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NIST I033Institutions 50
기여 · 영문 원문
Robotics measurement methods
선정 근거 · 영문 원문
NIST develops robot mobility measurements, tests and standards through an actual measurement program.
근거 범위
Specific robotics measurement outputs; safety certification and the wider AI RMF are separate functions.
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Open Robotics / OSRF I034Institutions 50
기여 · 영문 원문
Open robotics software infrastructure
선정 근거 · 영문 원문
The nonprofit OSRF provides and maintains open software used in robotics research and product development under the Open Robotics brand.
근거 범위
Organizational and software records; sold OSRC businesses and Intrinsic revenue retain separate legal and commercial scope.
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Open X-Embodiment consortium I035Institutions 50
기여 · 영문 원문
Shared learning data and models
선정 근거 · 영문 원문
Open X-Embodiment provides shared data formats and RT-X models used by multiple laboratories in physical-robot evaluations.
근거 범위
Named consortium research; participation counts vary by edition and rights differ across datasets.
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OSHA Robotics Safety Guidance I036Institutions 50
기여 · 영문 원문
Workplace robotics safety guidance
선정 근거 · 영문 원문
OSHA provides an updated robotics safety technical manual for inspectors and workplace safety staff.
근거 범위
2022 joint-guidance announcement; A3 engineering and NIOSH research retain separate contributions, with field inspection effects unmeasured.
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POSTECH I037Institutions 50
기여 · 영문 원문
Joint hospital-robotics research and evaluation
선정 근거 · 영문 원문
POSTECH's Keehoon Kim and Jaewon Byun co-developed hospital disinfection robotics with KIST, KIRO, Elphoton and Pohang St. Mary's Hospital.
근거 범위
Institution-reported wiping and UV-C research and hospital evaluation; KIST's Sang-Rok Oh is named project director, and KIRO researchers retain joint credit.
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RAI Institute I038Institutions 50
기여 · 영문 원문
Public robot-learning tools
선정 근거 · 영문 원문
RAI Institute published learning code, Spot deployment methods and MIT-licensed research resources applied to Spot and Atlas hardware.
근거 범위
Published learning code and hardware methods for Spot and Atlas. The repository README identifies its maintenance status as inactive.
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SAC I039Institutions 50
기여 · 영문 원문
National standards administration
선정 근거 · 영문 원문
SAC is the supervisory authority for GB/Z 218.1-2026, the technical guidance document on real-data quality for embodied intelligence published on 27 August 2026.
근거 범위
The official record identifies TC28 committee responsibility and TC28SC42 execution. CESI and the other listed organizations share drafting credit; SAC’s supervisory role is separate.
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SEC I040Institutions 50
기여 · 영문 원문
Issuer disclosure review
선정 근거 · 영문 원문
The SEC reviewed Serve disclosures, including questions about funding constraints and deployment outlook.
근거 범위
Actual review correspondence; filing effectiveness, secondary share sales and new proceeds retain separate regulatory and financial meanings.
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Shanghai AI Lab I041Institutions 50
기여 · 영문 원문
Shared simulation research
선정 근거 · 영문 원문
Shanghai AI Lab’s InternUtopia was used for simulation evaluation by the named external EA-Nav research team.
근거 범위
External paper reporting use; public code and downloads have separate scope from physical commercial operations.
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Shanghai Stock Exchange I051Institutions 50
기여 · 영문 원문
Industrial issuer market access
선정 근거 · 영문 원문
Shanghai Stock Exchange provided market access for welding-robot issuer Kaierda, with trading beginning on 2021-10-25 under 688255.
근거 범위
Official listing notice; the exchange provides a market channel, while company proceeds and revenues retain issuer-level scope.
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Shenzhen Stock Exchange I052Institutions 50
기여 · 영문 원문
Industrial issuer market access
선정 근거 · 영문 원문
Shenzhen Stock Exchange provided listing and new-share fundraising access for industrial automation issuer Estun under 002747.
근거 범위
Official issuer-market announcement; the exchange is a market channel, with company-wide proceeds and revenues retaining their own scope.
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SIA I046Institutions 50
기여 · 영문 원문
Industrial technology transfer
선정 근거 · 영문 원문
SIA supported industrial-robot technology transfer through research-team commercialization and Siasun's formation.
근거 범위
The SIA-hosted historical account documents team and core-technology transfer. The Shenyang/Liaoning testing website identifies a separate location within the national testing network.
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Toyota Research Institute I042Institutions 50
기여 · 영문 원문
Robot learning and control research
선정 근거 · 영문 원문
Toyota Research Institute co-developed and supported Drake and provided manipulation research and public benchmarks used in robotics work.
근거 범위
Development, research and benchmark-use records; Toyota manufacturing results and TRI research retain separate scope.
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UC Berkeley BAIR: RAIL BridgeData I043Institutions 50
기여 · 영문 원문
Shared robot data and training tools
선정 근거 · 영문 원문
Berkeley RAIL’s BridgeData provides shared robot data, training code and access conditions used through documented external data-format workflows.
근거 범위
Evidence covers the RAIL activity within BAIR; shared Open X-Embodiment data events are cross-referenced without duplicate counting.
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XbotPark I044Institutions 50
기여 · 영문 원문
Startup manufacturing support
선정 근거 · 영문 원문
XbotPark provided startup funding support to Narwal, as described alongside direction-finding assistance in HKCRC material.
근거 범위
HKCRC’s account describes XbotPark funding support to Narwal, whose products and operating results retain company attribution.
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Zhejiang University Robotics Research I045Institutions 50
기여 · 영문 원문
Robotics education
선정 근거 · 영문 원문
Zhejiang University provided robotics education using two Jueying robots brought by project leader Zhu Qiuguo for a completed course in September 2021.
근거 범위
EDP course record dated 2021-09-25 to 2021-09-26; evidence covers demonstration and interaction, with learning effects unmeasured.