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.
we are hiring! see more info under opportunities. [position closed]
Autonomous Underwater Inspection
Mobile Manipulation of Complex Skills
Inspection and Repair using Reactive Skill Learning
Autonomy Evaluation of Unmanned Aerial Systems
Autonomous Underwater Manipulation and Failure Recovery
Visuospatial Skill Learning with Symbolic Planning
Trajectory Learning using Generalized Cylinders
Visuospatial Skill Learning for Object Reconfiguration
We accept visiting students in both graduate and undergraduate levels. Make sure to attach a cover letter and your Curriculum Vita when contacting us.