Building Generalist Robots with Agility via Learning and Control - Prof. Dr. Guanya Shi (CMU)

Recent breathtaking advances in AI and robotics have brought us closer to building general-purpose robots in the real world, e.g., humanoids capable of performing a wide range of human tasks in complex environments. Two key challenges in realizing such general-purpose robots are: (1) achieving "breadth" in task/environment diversity, i.e., the generalist aspect, and (2) achieving "depth" in task execution, i.e., the agility aspect.