Visit and seminar at the Heudiasyc laboratory

Feb 26, 2026·
Florian Pouthier
Florian Pouthier
· 1 min read
Image credit: Pedro Castillo
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On February 26, 2026, I had the pleasure of visiting the Heudiasyc laboratory at Compiègne, France. Heudiasyc is a research laboratory of the UTC and the CNRS, specializing in computer science and complex intelligent systems. I was specifically invited by members of the SyRI team, whose research focuses on developing embedded systems to increase the autonomy of mobile robots operating in open and complex environments.

The visit allowed me to discover the laboratory’s extensive interactions with the UTC engineering school, as well as the quality of the experimental platforms (autonomous vehicles, aerial robotics, etc.).

This visit also gave me the opportunity to give a seminar on my current research work on the asynchronous control and perception on quadrotors. This presentation led to very inspiring discussions and paved the way for future collaborations with the research teams.

I would like to thank once again all those who welcomed me for this wonderful day at Heudiasyc, and especially Julien Moreau, Pedro Castillo, Insaf Setitra and Jossué Cariño Escobar.

Florian Pouthier
Authors
Doctor in Control and Robotics
My research focuses on the efficient navigation of UAVs in constrained environments. I recently joined the LEASARD CominLabs project at LS2N Nantes, in which I investigate SLAM and navigation algorithms with event-based cameras to improve drone autonomy in cluttered environments. This work is supervised by Isabelle Fantoni. My Ph.D. thesis work, led at ICube Strasbourg and GIPSA-lab Grenoble, has been dedicated to the event-driven navigation of a drone in dark environments, as a part of the dark-NAV ANR project. This thesis has been supervised by Nicolas Marchand and Sylvain Durand. Through my research work, I developed research interests in aerial robotics, robust control and set theory. As a graduate of an engineering school (INSA Strasbourg), I have developed a taste for control theory, which I try to deploy as much as possible on real control systems.