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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 26–37 of 37 papers

TitleStatusHype
Hierarchical World Models as Visual Whole-Body Humanoid Controllers—0
Real-Time Simulated Avatar from Head-Mounted Sensors—0
Humanoid Locomotion as Next Token Prediction—0
H-GAP: Humanoid Control with a Generalist Planner—0
Universal Humanoid Motion Representations for Physics-Based Control—0
Perpetual Humanoid Control for Real-time Simulated Avatars—0
From Universal Humanoid Control to Automatic Physically Valid Character Creation—0
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning—0
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning—0
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions—0
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures—0
Neural probabilistic motor primitives for humanoid control—0
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