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CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks

arXiv 2506.08931 ↗First posted 10 Jun 2025cs.ROcited by 38

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Abstract (arXiv)

Humanoid teleoperation plays a vital role in demonstrating and collecting data for complex humanoid-scene interactions. However, current teleoperation systems face critical limitations: they decouple upper- and lower-body control to maintain stability, restricting natural coordination, and operate open-loop without real-time position feedback, leading to accumulated drift. The fundamental challenge is achieving precise, coordinated whole-body teleoperation over extended durations while maintaining accurate global positioning. Here we show that an MoE-based teleoperation system, CLONE, with closed-loop error correction enables unprecedented whole-body teleoperation fidelity, maintaining minimal positional drift over long-range trajectories using only head and hand tracking from an MR headset. Unlike previous methods that either sacrifice coordination for stability or suffer from unbounded drift, CLONE learns diverse motion skills while preventing tracking error accumulation through real-time feedback, enabling complex coordinated movements such as ``picking up objects from the ground.'' These results establish a new milestone for whole-body humanoid teleoperation for long-horizon humanoid-scene interaction tasks.

Key facts. Cited by 38 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jun 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 20; 2026: 18.

38 papers.

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  1. 2025BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusioncited by 165
  2. 2025Flow Matching Policy Gradientscited by 99
  3. 2025TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection Systemcited by 44
  4. 2025ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrationscited by 19
  5. 2025PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction Systemcited by 18
  6. 2025DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusioncited by 15
  7. 2026HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videoscited by 14
  8. 2025KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Controlcited by 13
  9. 2026Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrationscited by 12
  10. 2025DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulationcited by 11
  11. 2025MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recoverycited by 10
  12. 2026FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructionscited by 10
26 more
  1. 2025Towards Adaptable Humanoid Control via Adaptive Motion Trackingcited by 8
  2. 2025Learning Human-Humanoid Coordination for Collaborative Object Carryingcited by 7
  3. 2025RoboMirror: Understand Before You Imitate for Video to Humanoid Locomotioncited by 7
  4. 2025CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbationcited by 5
  5. 2025UniAct: Unified Motion Generation and Action Streaming for Humanoid Robotscited by 5
  6. 2026Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Trackingcited by 5
  7. 2025Coordinated Humanoid Manipulation with Choice Policiescited by 4
  8. 2026CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperationcited by 4
  9. 2025RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Trackingcited by 3
  10. 2026InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skillscited by 3
  11. 2026SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Frameworkcited by 3
  12. 2026VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenescited by 3
  13. 2025TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learningcited by 2
  14. 2025PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representationscited by 2
  15. 2026Scaling Behavior Foundation Model for Humanoid Robotscited by 2
  16. 2025HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environmentscited by 1
  17. 2026AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimationcited by 1
  18. 2026Switch: Learning Agile Skills Switching for Humanoid Robotscited by 1
  19. 2026AnyBody: Free-Form Whole-Body Humanoid Control from Arbitrary Keypoint Guidancecited by 1
  20. 2026HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmarkcited by 1
  21. 2026BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AIcited by 1
  22. 2025Human Motion Estimation with Everyday Wearablescited by 0
  23. 2026Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Trackingcited by 0
  24. 2026Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoidscited by 0
  25. 2026VENOM: Versatile Embodied Network for Omni-bodied Motion trackingcited by 0
  26. 2026PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Controlcited by 0