PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

A universal flight control tuning framework

Quadcopter Simulation and Control. Dynamics generated with PyDy.

Python-based Quadcopter Flight Controller Software using a Raspberry Pi Pico, MPU-6050, and a FlySky radio transmitter & receiver

Trajectory Planning and control

Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

Multi-rotor Gym

Project Code for the paper "A Learning-based Quadcopter Controller with Extreme Adaptation"

AVDC 2021 - GNC of a SWARM of UAVs in a numerical simulation by Alex Martinez and Tom Antoine

Quadcopter dynamics simulation with two proportional–integral–derivative (PID) controllers that adjust the motor speeds of the quadcopter and enable control of position and orientation.

Fully open architecture implementation of modern multi-agent coordination techniques.

To use a HackRF to capture the communication between a receiver and quad copter and control the quad copter from a hackRF

LQR controller for quadrotors

Quadcopter Controller with Deep Reinforcement Learning

GNC of a SWARM of UAVs in a SITL by Tom Antoine and Alex Martinez - Cranfield University AVDC MSc 2021

Simulation of Quadcopter/Quadrotor Exploration of Unknown Environments using Artificial Potential Field. Uses Vispy for animation

Cross-platform Python based software in the loop simulation for object tracking and general quadcopter simulations using custom pure-Python based custom pure PID (and customisable) flight controller

ROS2 packages to simulate (and control) a quadcopter using CARLA

Book Website: Dynamic System Modelling & Analysis with MATLAB & Pythobn