Research
Research interests #

- Computer vision for robotics
- Visual Servoing
- Omnidirectional cameras
- High resolution pose estimation

Open-source softwares #
- LibPeR: vision-based state estimation of robot and scene
- Vernier: pose measurement of calibrated patterns with subpixel resolutions
Supervision #
PhD students #
- Amneh Nasir (Oct. 2024 - Sep. 2027), Direct visual servoing of robots by cost function smoothing. Application to rigid and deformable scenes.
Engineers #
- Matheus Paula (Oct. 2024 - ongoing), Object detection and pose estimation integration in robotics teleoperation framework
Master students #
- Ferdinand Louapre (engineer’s degree, Mines de Paris, spring 2025, co-supervision), Hessian shaping for enhanced convergence domain Visual Servoing Schemes
- Damien Harlé (engineer’s degree, Rubika Valenciennes, summer 2024), user feedback enhancement with wide FoV cameras for robot teleoperation
- Gwendal Crequer (engineer’s degree, ENSTA Bretagne, spring 2024), robot masking for Spherical Visual Servoing using omnidirectional cameras
- Thomas Duvinage (engineer’s degree, UTBM, autumn 2023), encapsulate spherical Visual Servoing in a multi-objective control framework
- Matthieu Quaccia (engineer’s degree, INSA Toulouse, spring 2023, co-supervision), implementation of feature maps for Direct Visual Servoing
- Quentin Milot (engineer’s degree, INSA Rennes, spring 2022, co-supervision), Adaptation for omnidirectional cameras of a SLAM (Simultaneous Localization and Mapping) algorithm
- Valériia Leush (engineer’s degree, ENSMM, spring 2021), Software development of a python tool, based on the Vernier library, to generate and measure periodic pattern poses
Bachelor students #
- Sinta Schulte (bachelor’s degree, KIT, summer 2024), Visual Servoing trajectory evaluation comparison using various FoV
Projects participation #
- CALL (ANR, 2025-2028), dynamic object handover using full spherical visual perception and biomechanical modeling of humans
- Ant’noid (ANR, 2024-2028), leveraging ants visual familiarities for humanoid robot navigation
- BRIDGE SIGRoLe (NTT, 2023-2026), Self-Improving AI for seamless human-guided robot learning
- Def-phi (AIST-ITH funding, 2024-2025), Phase based deformation estimation
- DVS-Straight (AIST-ITH funding, 2021-2024), Direct Visual Servoing with optimal robot trajectories
- Holonet (ISITE BFC funding, 2020-2023), Toward extended visual control capabilities using digital holography
- Nano6D (regional funding, 2018-2021), 3D metrology at nanoscale