Missions

As part of a DGA Rapid project in collaboration with an SME in the Toulouse region (https://www.bayab.fr/), LAAS wishes to develop a high-pressure water jet abrasion demonstrator. The abrasion tool will be mounted on a robotic arm equipped with a camera. The camera will allow the surface to be abraded to be analyzed using image processing and the areas to be treated to be defined. The mission of the recruited person will mainly consist of developing and integrating the software building blocks constituting this demonstrator.

Activités

- Develop aircraft skin surface analysis software using artificial vision and learning,

- integrate software bricks for vision and automatic generation of collision-free movements in a robotic water jet surface abrasion demonstrator. Automatic motion generation will be built on the HPP software platform (https://humanodi-path-planner.github.io/hpp-doc)

- coordinate a DGA Rapid project and organize interactions with the industrial partner.

Compétences

- Good knowledge of the Python language,
- good command of mathematical tools relating to kinematics in robotics,
- experience in machine learning will be an asset.

Contexte de travail

Collaboration with the Bayab company as part of a DGA Rapid project

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.