MATE: Multi-Agent Virtual Teleoperation Platform for Humanoid Collaboration Data Collection
cs.RO
Submitted: 2026-09-22
Updated: 2026-09-22
Project page: https://yerik-yu.github.io/MATE
Terminology
Sources
- SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control
- RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
- HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit
- Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
- CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy
- HumanPlus: Humanoid Shadowing and Imitation from Humans
- CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
- NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
- Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
- VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation
- Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
- BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames
- R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
- Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation
- CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation
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