Analyze mechanical systems using a symbolic multibody approach.
Simulate industrial and research applications efficiently.
Robotran stems from 30 years of research at UCLouvain.
2024 Robotran master theses
Congratulations to our students who finished their master thesis using Robotran: 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/
Simon Hinnekens PhD Thesis
On 5 March 2024, our colleague Simon Hinnekens successfully defended his PhD thesis on”Quantification of trunk muscle forces through multibody models and non-invasive experimental measurements”. His work was at the interface between engineering and physiotherapy and aimed to improve the quantification of muscle forces and intervertebral efforts in the spine. We congratulate him on this […]
New paper: Symbolic multibody models for digital-twin applications
We are proud to announce that we just released a new paper in Multibody System Dynamics journal. The paper focuses on symbolic multibody models used in the frame of digital-twin applications such as vehicles, manipulators, walking robots or haptic devices. In this context, the interest of symbolically generated models for Digital-Twin-Type process is highlighted. The Robotran […]
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