HYPERmotion: Learning Hybrid Behavior Planning for Autonomous
Loco-manipulation
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous
Loco-manipulation
Enabling robots to autonomously perform hybrid motions in diverse environments can be beneficial for long-horizon tasks such as material handling, household chores, and work assistance. This requires extensive exploitation of intrinsic motion capabilities, extraction of affordances from rich environmental information, and planning of physical interaction behaviors. Despite recent progress has …