Course Description

Currently, most robots are programmed by experts in a controlled setting. For robots to do meaningful work in human environments, we must develop autonomous systems capable of learning from their experience, and learning from people. Robot learning research seeks to bring to bear modern machine learning and artificial intelligence algorithms on problems in robotics, integrating learning with classical techniques in perception, planning, and control. This summer camp will provide an overview of fundamental robotics and machine learning concepts and survey modern robot learning research, with a hands-on imitation learning component.

The course is part of an effort to build a community of undergraduate researchers in the Robot Interactive Intelligence (RobIn) Lab directed by Professor Roberto Martín-Martín.