CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
cs.RO, cs.AI, cs.LG, cs.SY, eess.SY
Submitted: 2026-10-04
Updated: 2026-10-04
Sources
- Expressive Whole-Body Control for Humanoid Robots
- ExBody2: Advanced Expressive Humanoid Whole-Body Control
- AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
- SoftMimic: Learning Compliant Whole-body Control from Examples
- Dancing with REEM-C: A robot-to-human physical-social communication study
- DFM: Deep Fourier Mimic for Expressive Dance Motion Learning
- Rhythm: Learning Interactive Whole-Body Control for Dual Humanoids
- Learning Human-Humanoid Coordination for Collaborative Object Carrying
- H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies
- HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos
- Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations
- DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
- ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
- Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
- BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion
- FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
- Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation
- CEER: Compliant End-Effector and Root Control as a Unified Interface for Hierarchical Humanoid Loco-Manipulation
- GentleHumanoid: Learning Upper-body Compliance for Contact-rich Human and Object Interaction
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