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
To fly a Crazyflie swarm in formation
Bio-inspired run and tumble and obstacle avoidance behaviour on Crazyflie 2.1
Track and fly drones with Qualisys motion capture systems
Resources for integrating Bitcraze Crazyflie projects with Qualisys motion capture systems
Modules for polynomial path planning for flying the Bitcraze Crazyflie 2.X with Qualisys motion capture integration in the control loop.
A dataset for assessing the impact of structural defects on nano-quadcopter performance (Crazyflie 2.1)
Quadcopter simulation with Webots
Flight tests of the path following vector field method on the formation of Crazyflie 2.1 nano quadcopters
The 2022 Gamma Team Integrated Swarm System Demo Repository
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