Robot Learning from Demonstration with Tactile Signals for Geometry-Dependent Tasks
Isabella Huang,Ruzena Bajcsy,Isabella Huang,Ruzena Bajcsy
Deploying robot learning frameworks in unconstrained environments requires robustness and tractability. We must not only equip the robot with a sufficient range of sensing capabilities, but also provide training data in a sample-efficient manner. To this end, we identify and address a need specifically in robot learning from demonstration (LfD) literature to account for not only end-effector pose ...
