2026
Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning
RA-L 2026
Dense collections of movable objects are common in everyday spaces-from cabinets in a home to shelves in a warehouse. Safely retracting objects from such collections is difficult for robots, yet people do it frequently, leveraging learned experience in tandem with vision and non-prehensile tactile s