SLIDE 01
An impressive demonstration is the beginning of a harder question: can this system do useful work under real operating conditions?

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.
Visual: B2AGI landmark concept artwork.

SLIDE 02
Installation, supervision, maintenance and recovery all affect whether a customer can rely on the system. This is the perspective behind the research.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.
Visual: B2AGI Art, Chapter 02, body/environment choice. Concept artwork.

SLIDE 03
The categories connect places to organizations and the people and institutions that make development and deployment possible.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

SLIDE 04
These are analytical lenses. The geographic assessment gives priority to Intelligence and Beyond and uses qualitative comparisons.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

SLIDE 05
Reusable platforms and research support the US case. Engineering, manufacturing and industrial demand support China's. Korea's case combines coordination, learned control and commercialization. The methodology records the competing profiles.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

Source records:
country:01:S1 | gxo.com | https://gxo.com/news_article/gxo-signs-industry-first-multi-year-agreement-with-agility-robotics/
country:01:S2 | nvidianews.nvidia.com | https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
country:02:S1 | www.hkexnews.hk | https://www.hkexnews.hk/listedco/listconews/sehk/2025/0428/2025042800961.pdf
country:02:S2 | www.longcheer.com | https://www.longcheer.com/en/col76/262.html
country:03:S1 | www.doosanrobotics.com | https://www.doosanrobotics.com/pdf/s_report_2023_en.pdf
country:03:S2 | navercorp.com | https://navercorp.com/story/storyDetail?seq=32450
country:04:S1 | www.mujin.co.jp | https://www.mujin.co.jp/news/9045/
country:04:S2 | www.mujin.co.jp | https://www.mujin.co.jp/news/7798/
country:05:S1 | www.tuv.com | https://www.tuv.com/press/en/press-releases/automated-lane-keeping-system.html
country:05:S2 | neura-robotics.com | https://neura-robotics.com/neura-robotics-secures-euro-120-million-series-b/

SLIDE 06
Shenzhen–Dongguan leads for its documented connection between university-linked engineering, incubation, robot product development and manufacturing access. The Bay Area's reusable platforms, learning curriculum and shared research facilities provide a different pathway.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

Source records:
cluster:01:S1 | www.hkexnews.hk | https://www.hkexnews.hk/listedco/listconews/sehk/2025/0428/2025042800961.pdf
cluster:01:S2 | www.pudurobotics.com | https://www.pudurobotics.com/en/case-studies/walmart-deploys-12-cc1-pro-cleaning-robots
cluster:02:S1 | www.cpuc.ca.gov | https://www.cpuc.ca.gov/news-and-updates/all-news/cpuc-approves-permits-for-cruise-and-waymo-to-charge-fares-for-passenger-service-in-sf-2023
cluster:02:S2 | nvidianews.nvidia.com | https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
cluster:03:S1 | www.ssme.sh.gov.cn | https://www.ssme.sh.gov.cn/public/news!loadNewsDetail.do?id=2c9e88329463f42301948b939b7b2747
cluster:03:S2 | www.longcheer.com | https://www.longcheer.com/en/col76/262.html
cluster:04:S1 | www.beijing.gov.cn | https://www.beijing.gov.cn/ywdt/gzdt/202304/t20230414_3033670.html
cluster:04:S2 | www.prnewswire.com | https://www.prnewswire.com/news-releases/galbot-secures-over-300-million-in-new-funding-breaking-records-with-3-billion-valuation-in-chinas-humanoid-robot-sector-302647204.html
cluster:05:S1 | navercorp.com | https://navercorp.com/story/storyDetail?seq=32450
cluster:05:S2 | www.naverlabs.com | https://www.naverlabs.com/blogDetail?seq=34326

SLIDE 07
Current 100 and Next 100 recognize documented contributions across different operating stages. The selection rationale explains each company’s inclusion.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

Source records:
C067:S1 | nvidianews.nvidia.com | https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
C067:S2 | www.nvidia.com | https://www.nvidia.com/en-au/about-nvidia/corporate-timeline/
C016:S1 | group.dhl.com | https://group.dhl.com/en/media-relations/press-releases/2025/dhl-group-signs-mou-with-boston-dynamics-and-accelerates-cross-business-automation-strategy.html
C095:S1 | arxiv.org | https://arxiv.org/abs/2507.07356
Visual source (Tesla): https://www.tesla.com/tesla-gallery
Visual source (Google DeepMind): https://deepmind.google/
Visual source (Physical Intelligence): https://github.com/Physical-Intelligence

Source records:
N080:S1 | ir.tesla.com | https://ir.tesla.com/_flysystem/s3/sec/000162828026049213/tsla-20260722-gen.pdf
N029:S1 | deepmind.google | https://deepmind.google/blog/gemini-robotics-on-device-brings-ai-to-local-robotic-devices/
N059:S1 | github.com | https://github.com/Physical-Intelligence/openpi

SLIDE 08
Each entry recognizes the person’s specific role and documented contribution to Physical AI.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.
Visual source (Jensen Huang): https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
Visual source (Marc Raibert): https://imes.mit.edu/news-events/mit-affiliates-receive-2025-ieee-honors-0
Visual source (Wang Xingxing): https://alumni.zstu.edu.cn/info/1093/3057.htm

Source records:
P013:S1 | nvidianews.nvidia.com | https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
P013:S2 | blogs.nvidia.com | https://blogs.nvidia.com/blog/isaac-gr00t-blueprint-humanoid-robotics/
P018:S1 | imes.mit.edu | https://imes.mit.edu/news-events/mit-affiliates-receive-2025-ieee-honors-0
P028:S1 | www.shu.edu.cn | https://www.shu.edu.cn/info/1056/3355.htm
P028:S2 | alumni.shu.edu.cn | https://alumni.shu.edu.cn/info/1018/3152.htm
Visual source (Fei-Fei Li): https://www.image-net.org/challenges/LSVRC/2010/
Visual source (Daniela Rus): https://www.csail.mit.edu/person/daniela-rus
Visual source (Dennis Hong): https://samueli.ucla.edu/people/dennis-hong/

Source records:
E013:S1 | www.image-net.org | https://www.image-net.org/challenges/LSVRC/2010/
E013:S2 | www.worldlabs.ai | https://www.worldlabs.ai/about
P006:S1 | people.csail.mit.edu | https://people.csail.mit.edu/delpreto/thesis/delpreto_PhD-thesis_2021_wearables_human-robot-interaction.pdf
P006:S2 | bcs.mit.edu | https://bcs.mit.edu/news/muscle-signals-can-pilot-robot
E009:S1 | newsroom.ucla.edu | https://newsroom.ucla.edu/releases/artemis-ucla-humanoid-robot-ready-for-action
E009:S2 | github.com | https://github.com/darwinop-ens/darwin-op
Portrait P013 (Jensen Huang): studio editorial illustration. Reference photograph credit: nvidianews.nvidia.com. Reference record: https://nvidianews.nvidia.com/news/nvidia-powers-humanoid-robot-industry-with-cloud-to-robot-computing-platforms-for-physical-ai
Portrait P018 (Marc Raibert): studio editorial illustration. Reference photograph credit: rai-inst.com. Reference record: https://imes.mit.edu/news-events/mit-affiliates-receive-2025-ieee-honors-0
Portrait P028 (Wang Xingxing): studio editorial illustration. Reference photograph credit: alumni.zstu.edu.cn; photographer unconfirmed. Reference record: https://alumni.zstu.edu.cn/info/1093/3057.htm
Portrait E013 (Fei-Fei Li): studio editorial illustration. Reference photograph credit: profiles.stanford.edu. Reference record: https://www.image-net.org/challenges/LSVRC/2010/
Portrait P006 (Daniela Rus): studio editorial illustration. Reference photograph credit: Image published by www.csail.mit.edu; original photographer and rights holder unconfirmed. Reference record: https://www.csail.mit.edu/person/daniela-rus
Portrait E009 (Dennis Hong): studio editorial illustration. Reference photograph credit: Image published by samueli.ucla.edu; original photographer and rights holder unconfirmed. Reference record: https://samueli.ucla.edu/people/dennis-hong/

SLIDE 09
Research facilities, training and operating conditions matter alongside products. This category makes those contributions easier to find.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

Source records:
I029:S1 | www.csail.mit.edu | https://www.csail.mit.edu/news/muscle-signals-can-pilot-robot
I006:S1 | www.ri.cmu.edu | https://www.ri.cmu.edu/about/
I006:S2 | www.ri.cmu.edu | https://www.ri.cmu.edu/carnegie-robotics-partners-with-nrec-to-make-components-systems/
I018:S1 | www.kaist.ac.kr | https://www.kaist.ac.kr/site/newsen/html/news/?skey=keyword&sval=HUBO
I018:S2 | drexel.edu | https://drexel.edu/engineering/news-events/news/archive/2012/April/drexelhuborobotstakethestageandperformcometogether/
I016:S1 | ifr.org | https://ifr.org/pages/www.ifr.org
I033:S1 | www.nist.gov | https://www.nist.gov/nist-awards/2018-bronze-medal-award-roger-bostelman-elena-messina-david-schmitt-ann-marie-virts
I033:S2 | www.nist.gov | https://www.nist.gov/programs-projects/mobility-performance-robotic-systems
I034:S1 | www.openrobotics.org | https://www.openrobotics.org/
I034:S2 | www.openrobotics.org | https://www.openrobotics.org/foundation

SLIDE 10
Start with the contribution being recognized. Then inspect what the cited evidence actually covers. A research experiment, customer trial and operating record describe different stages.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

SLIDE 11
The lists support inquiry. Use an entry as the beginning of a decision, then follow its evidence and the broader almanac.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

SLIDE 12
Other markets are represented through relevant contributors. Coverage, source dates and the reasoning behind the order are part of the publication.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.

SLIDE 13
The ranking gives readers entry points. The almanac follows the practical chain from products and customers to revenue, cash, operations and people.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.
Visual: Existing B2AGI Part V lunar concept artwork.

SLIDE 14
Read the comparisons. Follow the sources. Bring a specific correction or a better-supported case. The next edition should learn from what this one gets right and what it needs to change.

Edition: B2AGI Physical AI Ranking 2027, v1.0, revision 2026-10-11; October 2026 assessment baseline.