aerial-robotics

A Robust and Efficient Trajectory Planner for Quadrotors

An Efficient Framework for Fast UAV Exploration

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

Formation Flight in Dense Environments

[IROS'24 Oral] A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

[ICRA'24 Best UAV Paper Award Finalist] An Efficient Global Planner for Aerial Coverage

Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.

Public repository for Air Learning project

FLVIS: Feedback Loop Based Visual Inertial SLAM

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

[ICRA'23] A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction

A complete MAV simulation on Gazebo

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.

Isaac Drone Racer is a reinforcement learning framework for high speed autonomous drone racing, built on top of IsaacLab

Multi-agent motion planning packages (HDSM method)

This project contains informed RRT* path planning, minimum-snap trajectory generation, nonlinear geometric controller for aggressive trajectory tracking and hover, and a quadrotor simulator

A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

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. 🏎️ ✈️

Framework for aerial imagery localization using different VPR systems