[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

KR (KumarRobotics) autonomous flight system for GPS-denied quadrotors

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

Autonomous UAV Navigation without Collision using Visual Information in Airsim

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

[IROS'24 Oral] A Heterogeneous Multi-UAV Planner for Fast Autonomous Reconstruction

ROS packages of the Autonomous landing system of a UAV in Gazebo

UAV Autonomous Systems Management

No description available

List of open-source algorithms and resources for UAVs.

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.

苏黎世理工开源的整套自主无人机系统

Official code for [AIAA 2023] "Partially-Observable Monocular Autonomous Navigation for UAV through Deep Reinforcement Learning"

Model Predictive Control for an autonomous quadcopter (UAV)

T-RISE is an intelligent UAV-based platform for autonomous inspection in deep underground engineering environments.

Ultra-wideband (UWB) Localization for Autonomous UAV Flight in GNSS-denied Environments

Robot Operating System framework for autonomous landing of miniature UAV in non-GPS mode.

Robust Visual-Aided Autonomous Takeoff, Tracking and Landing of a small UAV on a Moving Landing Platform for Life-Long Operation

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation

This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs

Autonomous Flight Package for Various Indoor UAV Tasks (C++/ROS/PX4)

[IEEE RA-L & ICRA'21] Autonomous UAV Exploration in Dynamic Environment [DEP] (C++/ROS)

We have successfully implemented the autonomous navigation of UAV with our custom python node using LiDAR ; 2D mapping with Hector SLAM and 3D mapping using Octomap algorithms in the ROS simulation environment. We also implemented an algorithm to manage the battery life of the UAV though which the UAV can use to return home when the battery-level drops down to a certain percentage.

Experiments with Deep Reinforcement Learning on autonomous vehicles (car and uav drone) in AirSim Simulator

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment

A UAV autonomous navigation autopilot, made with ROS, MAVROS, PX4 and Gazebo. Check out my master thesis in the repo for more info.

Turkish Teknofest SIHA Combat UAV Competition - Eflatun Team code repository for autonomous flight and mission logic.

code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'