mlsanityData to 14 Oct 2026

Track Any Motions under Any Disturbances

arXiv 2509.13833 ↗First posted 17 Sep 2025cs.ROcited by 35

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Abstract (arXiv)

A foundational humanoid motion tracker is expected to be able to track diverse, highly dynamic, and contact-rich motions. More importantly, it needs to operate stably in real-world scenarios against various dynamics disturbances, including terrains, external forces, and physical property changes for general practical use. To achieve this goal, we propose Any2Track (Track Any motions under Any disturbances), a two-stage RL framework to track various motions under multiple disturbances in the real world. Any2Track reformulates dynamics adaptability as an additional capability on top of basic action execution and consists of two key components: AnyTracker and AnyAdapter. AnyTracker is a general motion tracker with a series of careful designs to track various motions within a single policy. AnyAdapter is a history-informed adaptation module that endows the tracker with online dynamics adaptability to overcome the sim2real gap and multiple real-world disturbances. We deploy Any2Track on Unitree G1 hardware and achieve a successful sim2real transfer in a zero-shot manner. Any2Track performs exceptionally well in tracking various motions under multiple real-world disturbances.

Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Sep 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 30.

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  1. 2025SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Controlcited by 101
  2. 2026HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videoscited by 14
  3. 2026TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Controlcited by 14
  4. 2026HoloMotion-1 Technical Reportcited by 8
  5. 2025From Generated Human Videos to Physically Plausible Robot Trajectoriescited by 6
  6. 2026MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitivescited by 6
  7. 2025CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbationcited by 5
  8. 2026SteadyTray: Learning Object Balancing Tasks in Humanoid Tray Transport via Residual Reinforcement Learningcited by 5
  9. 2026Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Trackingcited by 5
  10. 2026CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperationcited by 4
  11. 2026SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interactioncited by 4
  12. 2026Learning Human-Like Badminton Skills for Humanoid Robotscited by 3
23 more
  1. 2026SafeFlow: Real-Time Text-Driven Humanoid Whole-Body Control via Physics-Guided Rectified Flow and Selective Safety Gatingcited by 3
  2. 2026SplitAdapter: Load-Aware Humanoid Loco-Manipulation via Factorized Adaptationcited by 3
  3. 2025PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representationscited by 2
  4. 2026AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimationcited by 1
  5. 2026Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learningcited by 1
  6. 2026Constraint-Aware Diffusion Priors for High-Fidelity and Versatile Quadruped Locomotioncited by 1
  7. 2026HoloAgent-0: A Unified Embodied Agent Framework with 3D Spatial Memorycited by 1
  8. 2026PressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitationcited by 1
  9. 2026HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmarkcited by 1
  10. 2025Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Gamecited by 0
  11. 2026Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robotscited by 0
  12. 2026TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulationcited by 0
  13. 2026Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoidscited by 0
  14. 2026CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotioncited by 0
  15. 2026DynaWM: Dynamics-Aware Distillation with World Model and Momentum Targets for Smooth Locomotion over Continuous Stairscited by 0
  16. 2026WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulationcited by 0
  17. 2026Behavior Foundations for Quadruped Robots: ABot-C0 Technical Reportcited by 0
  18. 2026EgoHTR: Egocentric 4D Demonstrations of Human Terrain Traversalcited by 0
  19. 2026GigaBrain-WBC-0.5: A Behavior World Model for Robust Humanoid Whole-Body Tracking with Environment Interactioncited by 0
  20. 2026PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Controlcited by 0
  21. 2026Learning Expressive and Compositional Motion Representation via Spectral Skillscited by 0
  22. 2026LocoWM: High-Precision Locomotion through World-Model-Guided Residual Adaptationcited by 0
  23. 2026Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Datacited by 0