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Humanoid Control

Control of a high-dimensional humanoid. This can include skill learning by tracking motion capture clips, learning goal-directed tasks like going towards a moving target, and generating motion within a physics simulator.

Papers

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Showing 1–25 of 37 papers

TitleStatusHype
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBenchCode5
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation ModelsCode4
SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill BlendingCode2
Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor controlCode2
MoCapAct: A Multi-Task Dataset for Simulated Humanoid ControlCode2
On the model-based stochastic value gradient for continuous reinforcement learningCode1
Optical Non-Line-of-Sight Physics-based 3D Human Pose EstimationCode1
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy EvolutionCode1
Learning Soccer Juggling Skills with Layer-wise Mixture-of-ExpertsCode1
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressCode1
Residual Force Control for Agile Human Behavior Imitation and Extended Motion SynthesisCode1
Learning to Brachiate via Simplified Model ImitationCode1
Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration—0
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills—0
Learning from Massive Human Videos for Universal Humanoid Pose Control—0
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners—0
One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion—0
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning—0
Perpetual Humanoid Control for Real-time Simulated Avatars—0
Real-Time Simulated Avatar from Head-Mounted Sensors—0
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Robot Learning—0
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures—0
RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control—0
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems—0
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control—0
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