Robot Skill Acquisition: Policy Representation and Data Generation

Explore the future of robot learning in this Stanford seminar featuring Shuran Song. Delve into the critical aspects of robot skill acquisition, focusing on policy representation and data generation. Discover why the right data - scalable, reusable, and robot-complete - is crucial for advancing robot learning beyond better algorithms or improved hardware. Examine potential solutions to data challenges in robotics, understand the hidden costs of various approaches, and learn strategies to overcome these obstacles. Gain insights into how robot learning can benefit from scaling trends similar to other machine learning fields.