Perception and Machine-Learning

Research TOPIC

People

Publications

Projects

Research on Perception and Machine-Learning

Robotic systems are generally based on the classic cycle: Perception → Reasoning+Decision/Planning → Action. The goal of the "Perception and Machine-Learning" research axis is to improve the ability to perceive and interpret in real time the environment of robots. Note that we consider robots in a broad meaning, including mobile robots, collaborative robots, an also intelligent vehicles. More specifically, the research and scientific contributions of this theme are covering the following topics:

  • Real-time computer-vision
  • Multi-sensor fusion
  • Ego-localization and SLAM
  • Machine-Learning (ML) in general and Deep-Learning (DL) in particular
  • Pattern recognition (categorization or identification)
  • Gesture or action recognition
  • Time-series prediction
  • Reinforcement-Learning (RL)

People

Permanent staff:

  • Fabien MOUTARDE: Full Professor
  • Bogdan STANCIULESCU: Associate Professor
  • Cyril JOLY: Assistant Professor
  • Hsiu-Wen (Kelly) CHANG : Assistant Professor
  • Sascha HORNAUER: Tenure-track

PhD students:

  • Simon DE MOREAU [March2023-...] : End-to-end holistic vehicle lighting, CIFRE PhD with Valeo lighting [PhD thesis director = Fabien Moutarde, PhD thesis co-supervisor = Bogdan Stanciulescu]
  • Angelika ANDO [December2022-...] : Embedded 3D visualization using Neural Rendering, PhD funded by FORVIA [PhD thesis director = Fabien Moutarde, PhD thesis co-supervisor = Bogdan Stanciulescu]
  • Amandine BRUNETTO [November2022-...] : Exploitation of sound for real-time reconstruction and understanding of 3D scenes, PhD thesis funded by Franco-American project (ANR-NSF) Omni-BatVision [PhD thesis director = Fabien Moutarde, PhD thesis co-supervisor = Sascha Hornauer]
  • Iad ABDUL RAOUF [Jan.2022-...] : Magnetic field and vision-based loop closure, CEA-LIST  PhD thesis [PhD thesis director = Alexis Paljic, PhD thesis co-supervisor = Cyril Joly]
  • Raphaël CHEKROUN [Apr.2021-...] : Deep Reinforcement Learning for autonomous Driving (CIFRE Valeo Driving Assistance) [PhD thesis director = Fabien Moutarde, PhD thesis co-supervisor= Sascha Hornauer]
  • Thomas GILLES [March2020-...] : Prediction of vehicle trajectories (CIFRE PhD with Huawei-France)  [PhD thesis director = Fabien Moutarde, PhD thesis co-supervisor = Bogdan Stanciulescu]
  • Arthur MOREAU [March2020-...] : Deep-Learning for ego-localization of vehicles from vision  (CIFRE PhD with Huawei-France)  [PhD thesis director Arnaud de La Fortelle, PhD thesis co-supervisor = Bogdan Stanciulescu]
  • Jesus BUJALANCE-MARTIN [Dec.2019-...] : Deep Reinforcement Learning for teaching tasks to manipulation robots [PhD thesis director = Fabien Moutarde]

Former PhD students:

PUBLICATIONS

Current research projects

  • Academic supervision of  industrial PhD thesis (CIFRE) of Valeo lighting (Simon DE MOREAU, End-to-end holistic vehicle lighting)
  • PhD thesis direct contract with FORVIA [Angelika ANDO, Embedded 3D visualization using Neural Rendering]
  •  Franco-American public project (ANR-NSF) Omni-BatVision
  • Academic supervision of a CEA-LIST PhD [Iad ABDUL RAUF on "Magnetic field and vision based loop closure "]
  • Franco-German public project HAIBrid
  • Academic supervision of 2 industrial PhD thesis (CIFRE) of Huawei-France [Thomas GILLES on "Prediction of vehicle trajectories" and Arthur MOREAU on "Learning-based algorithms for real-time visual localization of mobile robots"]
  • Academic supervision of  industrial PhD thesis (CIFRE) of Valeo Driving Assistance [Raphaël CHEKROUN, "Deep Reinforcement Learning for autonomous Driving"]