PFM-HR：面向人形机器人的位姿流匹配
原标题：PFM-HR: Pose Flow Matching for Humanoid Robots
技术动态AI 90
来源：arXiv cs.RO发布时间待核实
arXiv:2608.03227v3 Announce Type: replace Abstract: Motion priors improve reinforcement learning for physics-based humanoid tracking, but temporal priors require ordered motion clips, while pose priors provide limited guidance for policy-induced pose transitions. We present Pose Flow Matching for Humanoid Robots (PFM-HR), a reusable flow matching prior trained directly on large scale unordered pose data.