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Xinmiao Wang

2 accepted papers

2026

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning

AAAI 2026technical

Humanoid robots are promising to learn a diverse set of human-like locomotion behaviors, including standing up, walking, running, and jumping. However, existing methods predominantly require training independent policies for each skill, yielding behavior-specific controllers that exhibit limited gen

Cited by 0SourcePDFScholar
2026

X-Loco: Towards Generalist Humanoid Locomotion Control via Synergetic Policy Distillation

RSS 2026poster

While recent advances have demonstrated strong performance in individual humanoid skills such as upright locomotion, fall recovery and whole-body coordination, learning a single policy that masters all these skills remains challenging due to the diverse dynamics and conflicting control objectives in…

Cited by 0SourceScholar