2 Robotics Pioneers Unpack the Path to Generalist Robots

In this episode of Unsupervised Learning, Jacob Effron interviews Karol Hausman, CEO and co-founder, and Danny Driess, a key researcher at Physical Intelligence, about the advancements and challenges in AI robotics. They discuss the evolution from task-specific algorithms to foundation models capable of generalizing across various tasks and environments. The conversation covers key milestones like PALMI and RT2, the importance of data and hardware, and the shift from teleoperation to autonomous learning. They also explore the role of simulation, the balance between exploration and exploitation in research, and the potential for open-source models to drive innovation in the field. The episode concludes with a discussion on the future implications of robotics, including the possibility of "vibe coding" for hardware and a world without household chores.