Persistent Autonomy and Robot Learning
Welcome to the PeARL lab website!
Our research focuses on developing machine learning algorithms and their application to robot autonomy and physical Human-Robot Interaction. Our group's research interests include Learning from Demonstration, Learning Reactive Behaviors, and Reinforcement Learning.
Autonomous Underwater Manipulation and Failure Recovery
Visuospatial Skill Learning with Symbolic Planning
Trajectory Learning using Generalized Cylinders
Visuospatial Skill Learning for Object Reconfiguration