Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning
arXiv:2510.03599v2 Announce Type: replace
Abstract: We present a unified framework for multi-task locomotion and manipulation policy learning grounded in a contact-explicit representation. Instead of designing different policies for different tasks, o…