robotics research

Enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Exploring the intersection of machine learning and robotic control, including

  • end-to-end learning of visual perception and robotic manipulation skills,
  • deep reinforcement learning of general skills from autonomously collected experience,
  • imitation learning,
  • learning from various sources of human feedback,
  • learning from interaction with other agents,
  • meta-learning algorithms that can enable fast learning of new concepts and behaviors.