Physical Intelligence
Develops general-purpose foundation models that let robots handle many physical tasks.
英文原文简介
Physical Intelligence builds foundation models and learning algorithms for robots, aiming at one generalist model that can control different machines. Its published work includes the pi0, pi0.5 and pi*0.6 vision-language-action models; it is based in San Francisco.
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- 2025年11月20日B轮—CapitalG 领投
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- EmbodiedEvo: Self-improving Coding Agents for Physical Intelligence2026年10月13日
- ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation ModelsNVIDIA; KAIST，2026年10月13日
- WorldOracle: Benchmarking Action-Conditioned World Models against Real-World ExecutionsAgiBot; NVIDIA; Princeton University; University of Texas at Austin; University of Toronto，2026年10月13日
- What Visual Representations Do World Action Models Need?Institute of Automation, Chinese Academy of Sciences; Galbot; Peking University; University of Science and Technology of China，2026年10月9日
- Magic-W0: A Structured World-Action Foundation Model for Physical IntelligenceMagiclab Robotics Inc. (Magic-Lab Team)，2026年9月30日
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