HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning 事件

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning arXiv:2605.27724v1 Announce Type: cross Abstract: Imitation learning is a promising approach for training humanoid robots to both walk and manipulate, but it requires a large number of demonstrations, which are time-intensive and difficult to collect via teleoperation. Existing data-generation algorithms can automatically synthesize demonstrations for manipulators, but they are ineffective on humanoids because their