Research Projects

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Industrial Inspection


Predicting Inner Wood Defects from Outer Bark Features. Coordinated by INRA, this project will run from the end of 2019 to 2023.

Ultrasonic Guided Waves

This project aims at developing a smart embeddable sensor for the detection of defects in metal-plate structures using guided waves, opto-acoustics and machine learning.

Environment Monitoring

Diatoms Detection and Classification

This project aims at performing automatic detection and classification of diatoms to monitor water quality.

Smart-Biodiv : AI for Biodiversity Research

The aim of the project is to develop Artificial Intelligence tools to monitor biodiversity in marine ecosystems.

Long-term River Monitoring

The objective of the project will be to build tools to monitor, document and quantify the evolution of small rivers after large strutural work (dam removal, re-creation of meanders).

Lake-shore Monitoring

The goal of this project is to monitor the shore of the Lake Symphonie in Metz, France with high-frequency over a significant time scale, using our Kingfisher platform. From this dataset, it will be possible to build an history of geo-referenced change.



The project aims to take advantage of the power of GANs to learn process knowledge in the domains of assembly and disassembly.

Autonomous Navigation of a boat with Model Based Reinforcement Learning

This project proposes several methods to improve flexibility and robustness of world models.

Autonomous Exploration in Natural Environments

This project focuses on the specific challenges raised when exploring natural environments.

Autonomous Navigation of an RC car

This project is mainly dedicated to experiment state of the art techniques for autonomous driving.

Ros Task Manager

Developing a complete robotic system often requires combining multiple behaviours into a complex decision grid, with elements running in sequence or in parallel, eventually interrupting each others. The Task Manager offers a framework to simplify the implementation of complex missions.

Computational Perception

Gammarus Tracking

The goal of this project is to implement an image-based tracking of gammarus within a Petri dish, with the intent to quantitatively assess the water quality based on their vitality.

Luminescence Images for Antibiotic Sifting

This project aims at studying the effect of antibiotics on the diffusion of antibio-resistance genes. This is achieved by analyzing bio-luminescence images captured by an highly sensitive CCD camera.

Archived Projects


[Completed in March 2024] Autonomous Robotic Inspection and Maintenance on Ship Hulls and Storage Tanks. The CNRS - IRL2958 coordinate this Horizon 2020, 21 partners project from 2020 to 2024.


[Completed in 2021] This ANR project is focused on the issue of depredation of long lines in the fishing industry by sperm whales and killer whales.

Machine Learning for Predictive Control

[Completed in 2020] Developing aerial robotic in the Greater Region is the focus of the GRoNe project ( As part of this initiative we intend to improve autonomous drone navigation by combining machine learning and model predictive control.

Visual Reconstruction and Localisation in Natural Environment

[Completed in 2020] Visual navigation in a natural environment raises considerable challenges when relying on vision due to the poor distinctivity of features. This page relates our work on visual slam for these specific environments.

Focused Inspection

[Completed in 2020] Focused Inspection using Imitation Learning. This project aims at learning the utility function that drives a human expert during an inspection task.

Land-Use Classification from Overhead Imagery

[Completed in 2019] This project is a collaboration with AgroParisTech, using segmentation of overhead imagery with deep learning to classify land use at a very fine-grained scale.

Flourish: Robotics for Precision Agriculture

[Completed in 2018] Flourish is a European Project coordinated by the Autonomous Systems Lab at ETH Zürich (Switzerland) with a focus on aerial and ground robotics for precision farming.

Electron Back Scatter Diffractometry Images

[Completed] EBSD Images are images where every pixel can be seen as a quaternion representing the orientation of a crystal mesh. Our contributions has been focused on the extraction of the micro-structures and in particular grains and twins for Zirconium and Magnesium.

Electron-Beam Microscope Images

[Completed] Electron-Beam microscopes are used to image very small objects, of the order of 100s of nanometers. This page reports on some experiment on the automated analysis of images of grown semi-conductors.


[Completed in 2015] Noptilus is a European Project coordinated by the Centre for Research and Technology – Hellas (CERTH). Our task was focused on the developement of sensori-motor behaviors for underwater robots.


[Completed in 2015] Limnobotics is a project co-led by C.Pradalier while at ETH Zurich. Its focus was on lake monitoring using an autonomous boat to keep track of algal blooms.

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