This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

Unified framework for robot learning built on NVIDIA Isaac Sim

A toolbox for processing and analysing air traffic data

Drone delivery system designed for Covid-19 that involves a deep learning autonomous drone model built using a CNN-LSTM algorithm and a complimentary app for online purchasing, drone delivery proce…

The open source air traffic simulator

The open source air traffic simulator

A gymnasium style environment for standardized Reinforcement Learning research in Air Traffic Management. Built on the BlueSky Air Traffic Simulator

Geofence and city topology import tools, as well as some documentation

Cobaya likelihoods for SPT experiment

An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.

A n OpenAI Gym environment for simulating drone deliveries with reinforcement learning and A* examples

A web-based 3D simulation of the University of Minnesota campus, showcasing a drone fleet delivery service. It features dynamic interactions among helicopters, humans, robots, drones, packages, and…

Drone Delivery Management

A simulation project that merges Autonomous Vehicle (AV) car-sharing with drone deliveries to optimize out-of-range deliveries.

A gymnasium style environment for standardized Reinforcement Learning research in Air Traffic Management. Build on the BlueSky Air Traffic Simulator

Drone Delivery Management

Efficient Large-Scale Multi-Drone Delivery Using Transit Networks

Python Implementation of Reinforcement Learning: An Introduction

Applying Large-Scale Weakly-Supervised Automatic Speech Recognition to Air Traffic Control

Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots

Code for a python based simulation for Autonomous Swarm Leader Election in UAS drone swarms

Vortex vector field for collision avoidance in drone swarm formation control

[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

A python exercise in which students create a system for doing air traffic control

Just me having some RL fun.

The open source air traffic simulator

Application of an autonomous multi-agent system using Proximal Policy Optimisation for tactical deconfliction within the urban airspace