Quadrotor
Showing 5 of 5 projects
A robust and efficient trajectory planner enabling quadrotor fast flight in complex unknown environments.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
A unified benchmark suite with PyBullet CartPole and Quadrotor environments and symbolic CasADi dynamics for safe learning-based control and reinforcement learning.
A C++ header-only library for real-time, spatial-temporal optimal trajectory generation for aggressive quadrotor flight.
A ROS implementation of Fast and Safe Tracking (FaSTrack) for online safe trajectory planning with reachability-based safety guarantees.
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