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OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Linear Inverted Pendulum Model based bipedal walking
Implementation of some core elements of "Learning robust perceptive locomotion for quadrupedal robots in the wild"
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Cpp implementation of various basic robotics algorithms
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
The first behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A generative world for general-purpose robotics & embodied AI learning.
Low-level locomotion policy training in Isaac Lab
unitree Go2 robot learns locomotion with N-P3O algorithm and HIM alike policy trained by isaacgym
Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"
Repository for our paper: FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning, Proceedings of the 12th International Conference on Learning Representations (ICLR)
Reinforcement Learning Environments for Omniverse Isaac Gym
The official repository for the paper "RSMT: Real-time Stylized Motion Transition for Characters".
Creating animation sequences between sparse key frames using motion phase features.
A motion generation model learned from a single example [SIGGRAPH 2022]
A vector-quantized periodic autoencoder (VQ-PAE) for motion alignment across different morphologies with no supervision [SIGGRAPH 2024]