Subject:
This thesis is part of a larger project aimed at developing a solution for transporting heavy and/or bulky products within a warehouse. These products are transported by several robots working together. An important aspect of this project is the recovery/reconstruction of the necessary product information. Indeed, transporting a bulky and/or heavy product, which requires complex robotic maneuvers, requires precise, real-time knowledge of the product's movement. The aim of this thesis is thus to develop observers for reconstructing the signals needed to achieve the objective of transporting the products under consideration (See the pdf for more details on the subject).
Environment:
The PhD will be mainly held in Caen and will be directed by Pr. Tomas Ménard, a co-supervision will be done with the laboratory LAMIH (UMR 8201) in Valenciennes and at least one month per year will be spent in Valenciennes to validate the results on the robotics platform.
Profile:
The candidate will preferably have an Engineering/M2 Research Master's degree in Control theory. A strong mathematical background related to control/observation of dynamic systems is required. A confirmed level of programming practice in Matlab and a good practice of English (written and oral) are also required.
More information:
Funding: 3 years grant from the French National Research Agency (ANR). Gross annual salary: between 26k€ and 29k€, according to the progression defined in the Decree of 26/12/2022 (see Art. 1), that is, net salary (after taxes) starting from 1800 € per month with social insurance included. Expected start: 1st November 2025, end: 31 october 2028.
How to apply?
Send CV (including academic results) + Cover letter + Transcripts (last 2 years) + Certificate of achievement or Master’s diploma (or other equivalence to the French M2r Master’s degree) to: tomas.menard@ensicaen.fr
