My Research & Projects
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Updated
Aug 20, 2024 - HTML
My Research & Projects
Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
Open source simulator for autonomous robotics built on Unreal Engine with support for Unity
AI, IoT and Robotics Hardware + ROS
[IROS 2024 Oral] A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
[ICRA 2024 Best UAV Paper Award Finalist] An Efficient Gloabl Planner for Aerial Coverage
An Efficient Planner for Fast Aerial Coverage
Prompts and source code for applying LLMs to UAV-based navigation tasks with various model integrations
I use no airborne cameras or computers to land a UAV.
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. 🏎️
An Efficient Framework for Fast UAV Exploration
Perception stack for quadrotors developed using synthetic data and deployed on a DJI Tello EDU drone using NVIDIA's Jetson Orin Nano to autonomously navigate an obstacle course.
APACE: Agile and Perception-aware Trajectory Generation for Quadrotor Flights (ICRA2024)
Multi-agent motion planning packages (HDSM method)
Framework for aerial imagery localization using different VPR systems
A Robust and Efficient Trajectory Planner for Quadrotors
FLVIS: Feedback Loop Based Visual Inertial SLAM
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