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Stars
A toolkit for developing and comparing reinforcement learning algorithms.
Python sample codes and textbook for robotics algorithms.
An educational resource to help anyone learn deep reinforcement learning.
Bayesian Modeling and Probabilistic Programming in Python
Common used path planning algorithms with animations.
PyTorch implementations of deep reinforcement learning algorithms and environments
XLeRobot: Practical Dual-Arm Mobile Home Robot for $660
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Isaac Gym Reinforcement Learning Environments
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
A large-scale benchmark and learning environment.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
A collection of robotics simulation environments for reinforcement learning
Set of robotic environments based on PyBullet physics engine and gymnasium.
Access 175+ robot descriptions from the main Python robotics frameworks
Python inverse kinematics using Pinocchio and QP solvers
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.
ROS Robotics Projects, published by Packt
A gym environment designed for free-floating space robot control based on the MuJoCo platform.
Sampling with gradient-based Markov Chain Monte Carlo approaches
This project is based on a Kinova robotic arm URDF converted to an MJCF format for MuJoCo simulation. It integrates Pinocchio for dynamic computations and develops demos for kinematics, trajectory …
A custom PyBullet environment for UR5 pick-and-place task. Trained using the SAC algorithm from Stable-Baselines3 for continuous control and robotic manipulation.
Configuration Space Distance Fields for Manipulation Planning
Code for Compositional Diffusion-Based Continuous Constraint Solvers (CoRL 23)