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
Public repository for Air Learning project
FLVIS: Feedback Loop Based Visual Inertial SLAM
Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
[ICRA'23] A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction
[IROS'24 Oral] A Heterogeneous Multi-UAV Planner for Fast Autonomous Reconstruction
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.
Multi-agent motion planning packages (HDSM method)
Trajectory Planning and control
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
APACE: Agile and Perception-aware Trajectory Generation for Quadrotor Flights (ICRA2024)