He Wang

HumanScore reveals that traditional kinematic metrics overlook critical failures in humanoid motion tracking, such as unstable support and incorrect contacts.

Interleaving reasoning and execution allows PACE to hide 66.8% of thinking time within action execution, drastically improving planning efficiency.

Coordinated scaling of Behavior Foundation Models can enhance humanoid robot control performance, achieving up to 82% error reduction in real-world tasks.