PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
PyBullet Planning
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator
A bridge between ROS and PyBullet
Set of robotic environments based on PyBullet physics engine and gymnasium.
A Python package that collects robotic environments based on the PyBullet simulator, suitable to develop and test Reinforcement Learning algorithms on simulated grasping and manipulation applications.
Simple OMPL motion planning interface for Pybullet
External rendering for PyBullet
ROS-PyBullet Interface.
Collection of object models compatible with pybullet simulator https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet
bipedal robot walking simulation using pybullet.
Implementing Delta Robot in PyBullet
Pybullet modeling of a walking robot dog
mpc and wbc for mini cheetah in pybullet
Porting the MANO hand model to the PyBullet simulator
Datasets for data-driven deep reinforcement learning with PyBullet environments
MIT mini cheetah quadruped robot simulated in pybullet environment using ros.
A hopping robot modeled in PyBullet
Pybullet version of the multigoal robotics environment from OpenAI Gym