learnsyslab/safe-control-gym
A PyBullet-based benchmark suite of CartPole and Quadrotor Gym environments for learning-based control and safe reinforcement learning in robotics.

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Safe-control-gym provides physics-based simulation environments for CartPole and Quadrotor systems using PyBullet, with CasADi symbolic dynamics for model-based and model-free reinforcement learning. It includes symbolic safety constraints, parameter disturbances, and robustness evaluation capabilities. The suite is designed as a unified benchmark for safe learning-based control and RL research in robotics.