[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
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A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
- mujoco
- robotics
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
- imitation-learning
- robotics
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
- isaaclab
- mujoco
- mujoco-warp
- reinforcement-learning
Dexbotic: Open-Source Vision-Language-Action Toolbox
- codebase
- pi0
- real-world
- robotics
RL training environments for Microduck (mjlab)
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
- hybrid-astar
- state-lattice-planner
- pure-pursuit
- rear-wheel-feedback
Code and model to control the AH!
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
- humanoid
- reinforcement-learning
- robotics
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
- ai
- artificial-intelligence
- control-systems
- humanoid-robot
[RSS 2026] Causal video-action world model for generalist robot control
A collection of robotics simulation environments for reinforcement learning
- d4rl
- gymnasium
- mujoco
- reinforcement-learning
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.
- algorithm
- autonomous-driving
- autonomous-navigation
- autonomous-vehicles
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
- meta-rl
- multi-task
- benchmark-environments
- mujoco
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
A Modular Toolkit for Robot Kinematic Optimization
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Reachy Mini's SDK
A library for differentiable robotics on manifolds.
Humanoid whole-body motion tracking with one differentiable world model.
Toolbox for quantitative trajectory evaluation of VO/VIO