Event
Any2Track: A Multi-Expert Distillation Approach for Humanoid Robot Motion Tracking
1 reports · 1 sources
Guyuehome published an article on October 12, 2026 introducing Any2Track, a method for humanoid robot motion tracking that addresses the difficulty a single reinforcement learning policy has in handling highly disparate motions such as dancing, fighting, and falling and getting up. The article states that the method uses a two-stage scheme: first, specialist teacher policies are trained by clustering, and then DAgger is used to aggregate the teachers' behaviors into a single student network. The report states that the article presents simulation comparison results for the G1.
Report timeline
- Any2Track: Multi-Expert Policy Distillation for General Motion Tracking in Humanoid Robots
Any2Track addresses the difficulty of a single reinforcement learning policy handling vastly different motions such as dancing, fighting, and getting up from a fall. It uses a two-stage approach: first training specialized teachers by cluster, then using DAgger to aggregate the teachers' behaviors into a single student network, and it presents G1 simulation comparison results.
Guyuehome ·