Physical Intelligence Launches Beta API for Robot Model Training and Inference
- Published
- Source
- HumanoidsDaily
Physical Intelligence has introduced a beta API designed for training and running its robot models, marking a significant advancement in providing intelligence for various machines. Announced on October 13, this service allows teams to upload demonstrations, train policies, and test them on hardware, while also gathering data on failures. Notably, many applications showcased utilized cloud inference, although network connectivity posed challenges for some users.
This development is crucial as it simplifies the experimentation process for teams focused on hardware or specific applications, reducing the infrastructure burden while evaluating the reliability of learned policies. For instance, Almond's Axol dual-arm robot successfully demonstrated deburring spacers for assembly after just four days of API iteration. Physical Intelligence's collaborations with companies like Actor, which operates a wheel loader for commercial deployment, further emphasize the potential of this API.
Looking ahead, the managed approach of the API could enhance accessibility for teams aiming to innovate in robotics. Physical Intelligence's ongoing partnerships, including those with Weave and Ultra, highlight the importance of a shared model foundation across different robot manufacturers. No further timeline was disclosed at the time of publication.
Original report
Physical Intelligence Opens API Beta for Robot Model Training and Inference
HumanoidsDaily · [email protected] (Humanoids Daily Staff)This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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