Residual Denoising Enables Sample-Efficient Multi-Agent Coordination on Demand
cs.RO
Submitted: 2026-09-26
Updated: 2026-09-29
Terminology
Sources
- KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Planning with Diffusion for Flexible Behavior Synthesis
- 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
- MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies
- CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy
- Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation
- Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
- Residual Policy Learning
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