A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
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Updated
May 26, 2024
A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
An Efficient Planner for Fast Aerial Coverage
An Efficient Planner for Fast Aerial Coverage
AI, IoT and Robotics Hardware + ROS
Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
FLVIS: Feedback Loop Based Visual Inertial SLAM
APACE: Agile and Perception-aware Trajectory Generation for Quadrotor Flights (ICRA2024)
Supplementary Material "Co-Design Optimisation of Morphing Topology and Control of Winged Drones" published in IEEE 2024 International Conference on Robotics and Automation (ICRA)
I use no airborne cameras or computers to land a UAV.
Multi-agent motion planning packages (HDSM method)
Framework for UAV localization using different VPR systems
My Research & Projects
A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction
Frame-to-Frame Registration using Gaussian Mixture Models.
Local occupancy modeling from Gaussian Mixture Models.
High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.
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