Projects

The implication of the team in different projects and consortia gives an idea of our research activities in regional, national and international level. Indicatively :

Principal projects/partnerships

• Project ANR TSIA VORTEX
• Project ANR CominLabs LEASARD
• Marie Skłodowska-Curie Action (MSCA) fellowship, BIENVENÜE program of the region of Brittany, project NOETIC
• Project EU-Japon eVITA
• Project HIT (Handicap Innovation Territoire)
• Project ECFVisuL (Continuous and automatic evaluation of human functional capacity at home based on computer vision)
• Project Mementop (Plan de Relance)
• Collaboration with CNRS IRL "CROSSING"

Flagship activities

• Organization of RoboCup 2023 (led by Prof. Dominique Duhaut)
• Participation to Robocup@Home

Current doctorate theses

• RAPALLO: Robotic Action Planning with Affordances and LargeLanguage mOdels - Gaëlic BECHU
• Assistance au déplacement pour des personnes malvoyantes basée sur la vision par ordinateur - Nacer DJERADA
• Dialogue variants and language levels in sub-saharan Africa - Accounting for sociolectic and idiolectic parameters for the dynamic adaptation of a vocal robot to the speaker profile - Papa Séga WADE
• Robot Manipulation Learning using Generative Adversarial Networks - Mohamed Khalil JABRI
• Anticipative Motion Planning for Robots. Application to RoboCup Soccer - Antoine DIZET
  
  

Completed doctorate theses

• Monocular SLAM densification for 3D mapping and autonomous drone navigation - Yassine HABIB
• Enhancing data informativeness in deep-learning based, point cloud semantic segmentation of industrial scenes - Romain CAZORLA
• Application de modèles d'apprentissage machine interactifs pour l'interaction homme-robot : Approche basée sur l'attention humaine - Natnael Argraw WONDIMU
• Cobot’s programming : from trajectory learning to their acceptability - Amélie LEGELEUX
• Human activity recognition in smart homes : tackling data variability using context-dependent deep learning, transfer learning and data synthesis - Damien BOUCHABOU
• Reinforcement learning-based control for safe 3D navigation of articulated tracked robot manipulators - Andrei MITRIAKOV
• Large-scale deep class-incremental learning - Eden Belouadah