CIFRE PhD thesis
The aim of this thesis PhD thesis is to develop an innovative solution for the characterisation of radioactive waste drums that combines an automated measurement system and a specific reconstruction algorithm for the identification of hot spots and the determination of package activity. This innovative method will improve performance and reduce uncertainty compared to current conventional methods.
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Robot for measuring radioactive contamination
It is a robot measuring “surface contamination α, β/γ, with a configurable and self-adjusting mesh for better accuracy according to geostatistical principles. A 3D mapping is obtained thanks to the complementarity between the robot covering the ground surface and a connected module. The resulting 3D mapping allows the decommissioning of a room or the taking of decisions for future decontamination actions.
The depth of objects
Manon Fourniol, PhD in Engineering Sciences is our latest recruit at INNOWTECH.
Her mission within our team is to determine a method for estimating the depth of objects in the robot’s environment using a simple monocular camera that can be coupled to a Lidar.
This involves the development and use of different algorithms and tools such as deep neural networks or more classical image processing methods.
Eventually, the idea would be for the robot to be able to recognise these objects in its map of the environment in order to avoid them and take them into account in its movements thanks to the 3D SLAM algorithm.
RIMA Realigned Project
INNOWTECH participates a second time in the RIMA project.
A great collaboration between INNOWTECH, EyeSnap and TotalYmage to develop a robot-sensor equipped with a 360° camera for inspections in sensitive environments.
RIMA projects aim to bring together all actors (suppliers, service providers, innovation centers…) in order to accelerate robotics in I&M, but also to help small and medium-sized companies to develop new solutions for different industrial sectors.
RIMA is funded by the Horizon 2020 initiative.
Find the teasing video of the RIMA project on our Linkedin via the following link :
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