There are 5 repositories under aerial-robotics topic.
A Robust and Efficient Trajectory Planner for Quadrotors
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
An Efficient Framework for Fast UAV Exploration
Formation Flight in Dense Environments
This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
Open source simulator for autonomous robotics built on Unreal Engine with support for Unity
[IROS 2024 Oral] A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
FLVIS: Feedback Loop Based Visual Inertial SLAM
Public repository for Air Learning project
[ICRA 2023] A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction
[ICRA 2024 Best UAV Paper Award Finalist] An Efficient Gloabl Planner for Aerial Coverage
Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
ROS workspace that creates a trajectory for a UAV to follow passing through a set of given waypoints and avoiding a set of given cylindrical obstacles.
A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths
Trajectory Planning and control
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️ ✈️
Udacity Flying Car Nanodegree - Term 1 - Project 3 - 3D Quadrotor Controller
APACE: Agile and Perception-aware Trajectory Generation for Quadrotor Flights (ICRA2024)
This repository implements a simple YOLO algorithm for detection of birds and other aerial obstacles for drones to avoid collision during flight.
Framework for aerial imagery localization using different VPR systems
Aircap_Pose_Estimator : markerless motion capture using multiple autonomous micro aerial vehicles
Multi-agent motion planning packages (HDSM method)
High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.
Frame-to-Frame Registration using Gaussian Mixture Models.
Simple Image processing based algorithm detects cracks on concrete roads. The algorithm can run on a raspberry pi 3b+ board mounted on an autonomous drone. A downward pointing camera records and simultaneously detects cracks when the drone navigates above a concrete road surface.
Admittance Control strategy for the interaction between a Human and a Quadcopter.
An Efficient Planner for Fast Aerial Coverage
Supplementary Material "Co-Design Optimisation of Morphing Topology and Control of Winged Drones" published in IEEE 2024 International Conference on Robotics and Automation (ICRA)
A detailed repository with step-by-step instructions on implementing an autonomous drone
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
CCO-VOXEL Chance Constrained Optimization over Uncertain Voxel-Grid Representation for Safe Trajectory Planning
Multi-Drone Control Software w/ Trajectory Generation
UrbanFly: Uncertainty-Aware Planning for Navigation Amongst High-Rises with Monocular Visual-Inertial SLAM Maps