ResearchResearch paperRobotics & Embodied AI1 source · Oct 4, 2026

CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video

We present CoDance, a framework for learning reactive and compliant human-humanoid interaction from video.

Key points

  • Partnered human-humanoid interaction couples locomotion with continuous physical contact.
  • A humanoid needs to coordinate with a person's motion while responding to interaction forces and maintaining stable and natural movement.
  • We study partnered dancing as a challenging instantiation, where a humanoid coordinates its footsteps with a moving partner and maintains continuous two-hand contact.
  • We introduce a multi-link compliance augmentation that transforms the kinematic demonstration into force-aware training data by adapting the robot reference under structured forces at both hands.

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