Physical Intelligence

By fine-tuning its π0.6 foundation model, Physical Intelligence has demonstrated a wide array of "common sense" physical tasks—from making sandwiches to cleaning windows—proving that the path to general-purpose robotics lies in scaling physical data.

The $5.6 billion startup reveals that sufficiently large robot models naturally learn to understand human video, potentially solving the industry's data bottleneck.

Physical Intelligence has unveiled π*0.6, a new VLA model that utilizes a training method called "Recap." By combining human demonstrations with autonomous reinforcement learning, the company claims to have doubled performance throughput on complex tasks like laundry folding and espresso making.

Chinese robotics company AgiBot partners with US-based embodied AI specialist Physical Intelligence (Pi), founded by prominent researchers like Sergey Levine and Chelsea Finn. AgiBot has hired Berkeley alum Dr. Luo Jianlan as Chief Scientist to lead a new research center focused on complex robot tasks. Initial collaboration shows a single AI policy controlling diverse tasks, demonstrated by a robot tying a scarf.