Research Project Menu

Environment Monitoring

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 data related to this project is available on the Symphony Lake Dataset: a 3-year spatio-temporal survey of a 1km lake shore using an autonomous surface vessel.


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

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

Flourish, started in April 2015, 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

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.

Visual SLAM in Natural Environment

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.

Machine Learning for Predictive Control

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.

Industrial Inspection

Ultrasonic Guided Waves for Metal Plate Structures

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

Focused Inspection using Imitation Learning

This project aims at learning the utility function that drives a human expert during an inspection task.

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.

Electron-Beam Microscope Images

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.

Electron Back Scatter Diffractometry Images

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.

Archived Projects

Noptilus [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.

Limnobotics [Completed in 2012]

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.