2024 Robotran master theses

Congratulations to our students who finished their master thesis using Robotran:

• Marine Boxus, Impact of railway dynamics on wheel-rail interaction: modeling, sensitivity analysis and experimental validation
• François Blase & Steve Matout, Automotive handling on wet surface : dynamic analysis and tyre grip sensitivity
• Paul Michiels, Deep learning methods for multibody modeling: application to railway dynamics
• Emma Kerkhofs, Quantification of intervertebral efforts and muscle forces through multibody modeling and electromyographic measurements: a scoliosis case study
• Louis Ridelle, De la conception assistée par ordinateur à la modélisation multicorps
• Baptiste Istace, Modeling & analysis of the tibio-femoral joint contact by coupling surface meshes and multibody formalism
• Martin Servais & Cyril Jánosi, Analyse globale des pertes énergétiques sur les vélos : mise en avant de l’impact des systèmes de suspension
• Paolo Mollica & Victor De Maegd, Design and control of a Delta robot for pedagogical purpose

Robotran team wishes them all the best for their careers!

You are able to download their thesis on UCLouvain repository: https://dial.uclouvain.be/memoire/ucl/en/