Robot learning research focuses on developing algorithms that allow robots to learn from data, human demonstration, and interaction with their environment. This includes reinforcement learning, imitation learning, and transfer learning. These techniques enable robots to perform tasks like object manipulation, navigation, and human-robot collaboration with increasing autonomy. Our researchers have expertise in both AI and robotics, the combination of which is pushing the boundaries of robot learning.