Loïca Avanthey

Loïca Avanthey
  • Site: Paris
  • Group: image processing and pattern recognition
  • Axis: robotics

Short bio

I obtained an engineering degree in computer science, electronics and automatics in 2011. Having specialized during my studies on spatial remote sensing and then on close-range remote sensing by drone (UAV), I continued on a PhD in Signal & Images at Télécom ParisTech, 100% funded by the French Government Defense Directorate General of Armaments (DGA) which I defended in 2016 on the theme of high-precision underwater mapping assisted by autonomous robots (UUV & USV).

My research area is close-range remote sensing and field robotics. I work in all environments (air, land and sea) with a particular focus on the underwater environment.

As a professional diver, I take care of field operations involving robots and their sensors and I co-organize underwater experimentation workshop as part of the French GDR Robotique. I am currently a assistant professor at EPITA where I co-created with Laurent Beaudoin the SEAL team (Sense, Explore, Analyze and Learn) on exploration robotics, which was merged in 2022 with the Image Processing and Pattern Recognition group. I am also co-responsible for the robotics axis of EPITA.


Contact information
Email loica.avanthey@epita.fr

Research interest

My research activities focus on the acquisition and processing of multi-environment close-range remote sensing data using light robotic means.

My second area of research, which I decline from my work on my main theme, concerns pedagogical innovations and education by research.

Key words : close-range remote sensing, multimedia field robotics (underwater vehicles, surface vehicles, ground vehicles and aerial vehicles), algorithmic under constraint, underwater photogrammetry, computer vision, undergraduate research.

Publications

The list of my publications is available on ResearchGate

Articles aimed at the general public on my research and teaching work are available on the SEAL website

Teaching

I give courses about robotics and computer vision in addition to supervising innovation and end-of-study projects.