PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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Updated
Jul 27, 2024 - 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 and Landing for Crazyflie
Track and fly drones with Qualisys motion capture systems
Autonomous navigation system for a Crazyflie quadrotor in Webots simulator. Utilizes A* path planning algorithm and integrates real-time object recognition with YOLO.
Quadcopter simulation with Webots
Resources for integrating Bitcraze Crazyflie projects with Qualisys motion capture systems
To fly a Crazyflie swarm in formation
Vortex vector field for collision avoidance in drone swarm formation control
The 2022 Gamma Team Integrated Swarm System Demo Repository
Python-based project to fly Crazyflie drones autonomously using Optitrack (Motive) motion capture.
University final project. The idea was to make UAVs play volleyball.
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