learnsyslab/gym-pybullet-drones

Health v2 · maintenance only

Adoption not part of the score

2116 stars · 557 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library providing PyBullet-based Gymnasium environments for simulating quadcopter control in single- and multi-agent reinforcement learning settings. It integrates with stable-baselines3 and supports Betaflight SITL for realistic flight controller simulation.

Use cases

• train RL agents to hover a quadcopter
• simulate multi-drone formation flight
• research multi-agent reinforcement learning for UAV control
• test drone controllers like PID against a physics simulator
• integrate Betaflight SITL with a physics simulation
• study downwash effects between drones

When to avoid

• you need GPU-accelerated or differentiable simulation (consider crazyflow)
• you need symbolic dynamics and safety constraints (consider safe-control-gym)
• you need full real-world deployment stacks with ROS2

Facets

library · maturity active

simulation machine-learning reinforcement-learning robotics robotics reinforcement-learning simulation machine-learning python cross-platform pybullet quadcopter uav multi-agent gymnasium stable-baselines3 crazyflie betaflight-sitl drone-simulation linux macos

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For agents

markdown · JSON · MCP: product_card(name="learnsyslab/gym-pybullet-drones")