PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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Updated
Aug 30, 2025 - Python
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
SLAM algorithm with ultrasound range input implemented on a Crazyflie drone
Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer
Bio-inspired run and tumble and obstacle avoidance behaviour on Crazyflie 2.1
Autonomous navigation system for a Crazyflie quadrotor in Webots simulator. Utilizes A* path planning algorithm and integrates real-time object recognition with YOLO.
Track and fly drones with Qualisys motion capture systems
Quadcopter simulation with Webots
Autonomous Navigation and Landing for Crazyflie
Vortex vector field for collision avoidance in drone swarm formation control
The 2022 Gamma Team Integrated Swarm System Demo Repository
Resources for integrating Bitcraze Crazyflie projects with Qualisys motion capture systems
To fly a Crazyflie swarm in formation
A dataset for assessing the impact of structural defects on nano-quadcopter performance (Crazyflie 2.1)
Autonomous navigation system for a Crazyflie quadrotor in Webots simulator. Utilizes A* path planning algorithm and integrates real-time object recognition with YOLO.
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