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Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.
Features
- Simulates quadrotors and multi-drone swarming tasks using PyBullet
- Provides a variety of control tasks like hovering, navigation, and formation flying
- Supports custom drone models and environment configurations
- Fully compatible with OpenAI Gym interface for easy RL integration
- Includes visualization tools for 3D drone behavior analysis
Project Samples
