PyBullet — The Complete Guide: A Physics Engine for Robotics and Reinforcement Learning in Python
PyBullet is a Python interface to the Bullet physics engine, built for robotics research. Write a few lines, load a model of an arm or a walking robot, and run a simulation — with or without a graphical view, fast enough to train reinforcement-learning policies on an ordinary workstation.
PyBullet
Bullet Physics
A physics engine for robotics and reinforcement learning, driven from Python.
Get it from the vendorWhat you get
- Rigid and soft body dynamics — including joints and limits.
- Collision detection — contact, friction and ray tests.
- Inverse kinematics — joint angles for a target position.
- URDF, SDF and MJCF — models from other tools load directly.
- Built-in rendering — simulated camera images for computer vision.
When to choose it
When you want a light simulation controlled entirely from Python — to try a controller, train an agent or check the motion of an arm. For especially fast, accurate contact simulation MuJoCo is common today, and for a full simulation with sensors and ROS — Gazebo. It is not the tool for engineering analysis of forces in a structure.
Related tools
For robot simulation with a world and sensors — Webots. For biomechanics and human movement — OpenSim. To connect to a real robot — ROS.
MuJoCo
Google DeepMind
A fast physics engine for robotics, biomechanics and machine learning.
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Gazebo
Open Robotics
3D robotics simulator with physics and simulated sensors, integrated with ROS.
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Webots
Cyberbotics
Approachable robot simulator with a library of ready robots and environments, common in teaching.
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ROS (Robot Operating System)
Open Robotics
The standard middleware for building robot software.
Get it from the vendorThe bottom line
PyBullet is a fast, free way to bring physics into Python code — excellent for research, courses and prototyping controllers.