[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
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Updated
Jan 6, 2026 - Python
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.
Visual Imitation Enables Contextual Humanoid Control. CoRL 2025, Best Student Paper Award.
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
A plug-and-play deploy framework for robots. Just deploy, just do.
[CVPR 2025 Highlight] InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
[L4DC 2026] "FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation"
Official Implementation of the ICLR 2024 spotlight paper: Universal Humanoid Motion Representations for Physics-Based Control
Official Implementation of the Universal Humanoid Controller in Mujoco. Supports Kinpoly (NeurIPS 2021) and EmbodiedPose (NeurIPS 2022).
Code for "PHUMA: Physically Reliable Humanoid Locomotion Dataset"
Official Implementation of the CVPR 2024 highlight paper: Real-Time Simulated Avatar from Head-Mounted Sensors
Open source robot vision framework for edge devices
A GPU-Parallel analytical physics engine with mujoco API compatibility
Official implementation of NeurIPS 2021 paper: "Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation". This repo contains a copy of the code for "Universal Humanoid Controller" and "Kinematic Policy".
Official repository for "OMG: Omni-Modal Motion Generation for Generalist Humanoid Control", https://arxiv.org/abs/2606.10340.
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