Quadcopter Simulation and Control. Dynamics generated with PyDy.

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

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

Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization

An autonomous delivery drone that delivers and returns parcels on landing markers

Quadcopter simulation with Webots

Quadcopter Control Along with sensor fusion of EEG data along with eye tracking data using the Extended Kalman Filter

Multi-agent Software-In-The-Loop SLAM application

A simulation for decentralized quadrotor swarm control using end-to-end deep reinforcement learning, based on the repo by Zhehui Huang et al. This version features a Three.js-based 3D visualization and an added new evader-pursuit scenario to simulate decentralized swarm dynamics.