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
Categories
Reinforcement Learning FrameworksLicense
MIT LicenseFollow gym-pybullet-drones
Other Useful Business Software
Orchestrate Your AI Agents with Zenflow
Zenflow orchestrates AI agents like a real engineering system. With parallel execution, spec-driven workflows, and deep multi-repo understanding, agents plan, implement, test, and verify end-to-end. Upgrade to AI workflows that work the way your team does.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of gym-pybullet-drones!