Tobi Springenberg

Karol Hausman and Tobi Springenberg from Physical Intelligence discuss the groundbreaking potential of robotic foundation models. They argue that the intelligence bottleneck, not hardware, limits robotics and explain their mission to create models capable of performing diverse tasks. The duo dives into their end-to-end learning approach, emphasizing recent improvements in reinforcement learning and real-world deployment. Insights into unexpected applications from open-sourced models and the aspiration for continual robot learning highlight a pivotal shift in intelligent machine design.