Overview

Humanoid robot control studies how robots coordinate balance, walking, and whole-body actions such as reaching, carrying, and recovering from pushes. Approaches include model-predictive and whole-body controllers grounded in robot dynamics, reinforcement learning and imitation from human motion, and newer perception- or language-conditioned policies. Researchers test these methods in simulation and on hardware across tasks such as terrain navigation, object handling, teleoperation, and sports. A central challenge is making controllers generalize to new motions, bodies, and contact conditions while remaining stable and safe outside simulation.

Latest papers

CardsList

206 papers45 papers in the last four weeks, up 45% on the four weeks before. 0.3% of all new papers.

  1. RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

    Apr 23, 2026Yucheng Xin, Jiacheng Bao, Yubo Dong +5Robot Policy LearningHumanoid Robot Control

  2. Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot

    Apr 23, 2026Yucheng Xin, Jiacheng Bao, Haoran Yang +6Robotic ControlHumanoid Robot Control

  3. UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

    Apr 21, 2026Boyu Chen, Yi Chen, Lu Qiu +3Latent Action LearningHumanoid Robot Control

  4. Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots

    Apr 21, 2026Yulai Zhang, Yinrong Zhang, Ting Wu +1Legged RoboticsHumanoid Robot Control

  5. Switch: Learning Agile Skills Switching for Humanoid Robots

    Apr 16, 2026Yuen-Fui Lau, Qihan Zhao, Yinhuai Wang +4Humanoid Robot LocomotionHumanoid Robot Control

  6. Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

    Apr 14, 2026Yifei Yan, Linqi YeContinual Robot LearningRobot Skill Learning

  7. HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation

    Apr 9, 2026Shuanghao Bai, Meng Li, Xinyuan Lv +15Flow Matching for Action GenerationRobotic Control

  8. Dynamic Whole-Body Dancing with Humanoid Robots -- A Model-Based Control Approach

    Apr 5, 2026Shibowen Zhang, Jiayang Wu, Guannan Liu +12Robot Motion GenerationHumanoid Robot Control

  9. BAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid Control

    Apr 1, 2026Donghoon Baek, Sang-Hun Kim, Sehoon HaRL for RoboticsHumanoid Robot Control

  10. DreamControl-v2: Simpler and Scalable Autonomous Humanoid Skills via Trainable Guided Diffusion Priors

    Mar 31, 2026Sudarshan Harithas, Sangkyung Kwak, Pushkal Katara +6Robot Skill LearningHumanoid Robot Control

  11. PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning

    Mar 25, 2026Huanyu Li, Dewei Wang, Xinmiao Wang +4Robotic ControlHumanoid Robot Control

  12. MIRROR: Visual Motion Imitation via Real-time Retargeting and Teleoperation with Parallel Differential Inverse Kinematics

    Mar 25, 2026Junheng Li, Lizhi Yang, Aaron D. AmesInverse KinematicsRobot Kinematics

  13. Learning Safe-Stoppability Monitors for Humanoid Robots

    Mar 24, 2026Yifan Sun, Yiyuan Pan, Shangtao Li +4Robot SafetyRobotics

  14. Make Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body Control

    Mar 23, 2026Qingrui Zhao, Kaiyue Yang, Xiyu Wang +6Motion RetargetingRobot Motion Generation

  15. Dynamic Properties and Motion Reproducibility of a Compact Pneumatically Actuated Humanoid Upper Body for Data-Driven Control

    Mar 16, 2026Hiroshi Atsuta, Hisashi Ishihara, Minoru AsadaRobotic ControlRobot Trajectory Tracking

  16. PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking

    Mar 13, 2026Jiacheng Bao, Haoran Yang, Yucheng Xin +7Robot Trajectory TrackingHumanoid Robot Control

  17. Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

    Mar 13, 2026Zhikai Zhang, Haofei Lu, Yunrui Lian +12RoboticsHumanoid Robot Control

  18. Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning

    Mar 11, 2026Yuto Shibata, Kashu Yamazaki, Lalit Jayanti +3Humanoid Robot ControlAssistive Robotics

  19. FAME: Force-Adaptive RL for Expanding the Manipulation Envelope of a Full-Scale Humanoid

    Mar 9, 2026Niraj Pudasaini, Yutong Zhang, Jensen Lavering +3Bimanual Robotic ManipulationHumanoid Robot Control

  20. Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid Recovery

    Mar 9, 2026Nehar Poddar, Stephen McCrory, Luigi Penco +3Humanoid Robot Fall RecoveryHumanoid Robot Control

  21. MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-Manipulation

    Mar 9, 2026Yutong Shen, Hangxu Liu, Penghui Liu +6Humanoid Loco-ManipulationHumanoid Robot Control

  22. Multifingered force-aware control for humanoid robots

    Mar 9, 2026Pasquale Marra, Gabriele M. Caddeo, Ugo Pattacini +1Humanoid Robot ControlForce-Controlled Robotic Manipulation

  23. TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size

    Mar 9, 2026Stefan Lionar, Gim Hee LeeHuman-Object InteractionHOI Generation

  24. InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills

    Mar 8, 2026Dayang Liang, Yuhang Lin, Xinzhe Liu +3Imitation LearningRobot Imitation Learning