AI & ML New Capability

Heracles uses a state-conditioned diffusion middleware to bridge precise motion tracking with generative recovery for humanoid robots.

March 31, 2026

Original Paper

Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control

Zelin Tao, Zeran Su, Peiran Liu, Jingkai Sun, Wenqiang Que, Jiahao Ma, Jialin Yu, Jiahang Cao, Pihai Sun, Hao Liang, Gang Han, Wen Zhao, Zhiyuan Xu, Yijie Guo, Jian Tang, Qiang Zhang

arXiv · 2603.27756

The Takeaway

Solves the 'brittleness' of traditional humanoid controllers. By using a diffusion model as an intermediary, robots can maintain high-fidelity tracking during normal operation while switching to human-like 'generative recovery' when hit by severe external perturbations.

From the abstract

Achieving general-purpose humanoid control requires a delicate balance between the precise execution of commanded motions and the flexible, anthropomorphic adaptability needed to recover from unpredictable environmental perturbations. Current general controllers predominantly formulate motion control as a rigid reference-tracking problem. While effective in nominal conditions, these trackers often exhibit brittle, non-anthropomorphic failure modes under severe disturbances, lacking the generativ