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Micro Air Vehicle Lab – TUDelft

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Code Datasets News Research

Honeybees teach drones how to navigate

Posted onMay 13, 2026November 4, 2026
Code Datasets News Research

All Eyes, no IMU: Learning Flight Attitude from Vision Alone

Posted onDecember 15, 2025October 30, 2026
Code News Research

Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation

Posted onOctober 9, 2025October 30, 2026
News, Robots

Self-flying drones that monitor greenhouse diseases and pests

We have teamed up with Royal Brinkman and start-up Mapture to develop AI and drone technology for greenhouse monitoring. These lightweight drones are able to …

By Yilun Wu
Posted onMay 31, 2022October 30, 2026
Code, Research

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks

Posted onOctober 25, 2021October 30, 2026

    Jesse J. Hagenaars*, Federico Paredes-Vallés*, Guido C.H.E. de Croon   The field of neuromorphic computing promises extremely low-power and low-latency sensing and processing. …

Autonomous swarm of tiny drones finds gas leaks
News, Research

Swarm of autonomous tiny drones can localize gas leaks

Posted onJuly 14, 2021October 29, 2026

A gas leak in a large building or at an industrial site is difficult to find. Human firefighters cannot see the gas, so they have …

Datasets, News, Research

Learning process as a Solution to Fundamental Optical-flow Problems

Posted onJanuary 19, 2021October 30, 2026

Optical flow for small flying robots Flying insects heavily rely on optical flow for visual navigation and flight control. Roboticists have endowed small flying robots …

News, Robots

TU Delft maritime hydrogen drone flies longer and greener

Posted onNovember 10, 2020May 13, 2025

    A drone that can fly sustainably for long distances over land and water, and can land almost anywhere, will be able to serve …

Code, News, Robots

Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor

Posted onNovember 3, 2020October 30, 2026

    Neuromorphic processors like Loihi offer a promising alternative to conventional computing modules for endowing constrained systems like micro air vehicles (MAVs) with robust, …

Code, Research

Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy

Posted onSeptember 16, 2020October 30, 2026

F. Paredes-Valles, G. C. H. E. de Croon Event cameras are novel vision sensors that sample, in an asynchronous fashion, brightness increments with low latency …

Events, Projects

PercEvite: sense and avoid for small drones

Posted onAugust 31, 2020November 1, 2026

Project website: www.percevite.org PercEvite (2017–2020, from the French “percevoir et éviter”, perceive and avoid) developed a sensor, communication and processing suite for small drones. It …

Events, News

PercEvite Symposium on 26 June 2020

Posted onJune 22, 2020October 31, 2026

On 26th of June, we will host a symposium on sense and avoid technologies for small drones. The Percevite Symposium will be filled with presentations and demonstrations from renowned researchers in academia and industry. Come join us in the free-online event!

Competitions, Datasets, News, Robots

MAVLab wins the AlphaPilot AI challenge

Posted onDecember 9, 2019October 30, 2026

We are very proud to officially announce that we have won the AlphaPilot Drone Racing Innovation challenge!

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