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Kevin Black

Researcher, Physical Intelligence

Kevin Black is a researcher at Physical Intelligence and a PhD student at UC Berkeley advised by Sergey Levine. He is a lead coauthor of π0, a vision-language-action flow model for general robot control, and coauthored Octo, BridgeData V2, and diffusion-model RL work including DDPO.123

At a glance

Current roles
Researcher +1 more
Sources cited
3
Profile reviewed

Accomplishments

  • Lead coauthor of π0 vision-language-action model.2
  • Octo open generalist robot policy coauthor.3

π0 and robot policies

Physical Intelligence's π0 blog and paper credit Black with major roles in the VLA flow model combining pretrained vision-language models with flow matching for high-frequency robot control. His site also lists Octo and related open robot datasets and policies.213

Timeline

  1. Octo released; π0 announced.32

Where they work

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References

3 sources · profile reviewed Oct 24, 2026 · data updated Oct 24, 2026

  1. Kevin BlackKevin Black · Official page · accessed Oct 24, 2026
  2. Our First Generalist Policy (π0)Physical Intelligence · Announcement · accessed Oct 24, 2026
  3. Octo: An Open-Source Generalist Robot PolicyOcto Model Team · Paper · accessed Oct 24, 2026