Miniswys’s core is its technology. And therefore, next to product development for our customers, our team is constantly researching new ways to improve the current offering. Smaller, bigger, faster, stronger, increased temperature resistance, reliability, robustness: we are continually faced with new requirements, and we therefore have the urge to keep on pushing the boundaries of our technology in order to cater best to our customers.
Most of times, we already possess the expertise required to include a new feature or improve a certain aspect. But, as it happens, sometimes we are faced with more considerable obstacles than we can independently tackle. Fortunately, we have an extensive network of academic partners that help us to push the boundaries of our knowledge and discover new techiques that we then internalize.
We currently have two academic partners: EPFL and BFH.
EPFL
Specifically, we are collaborating with Prof. Dr. Yves Perriard’s group LAI (link), at the EPFL Microcity campus in Neuchatel. Their main research focuses on the optimization of motors and actuators, including the use of simulations, AI tools, and lab experiments. This project has been made possible by Innosuisse.
PostDoc Xinxin Liao and PhD candidate Marc Favier have been working on miniswys technology since early 2023, introducing new features and optimization algorithms by leveraging tools like Neural Networks and experimenting to validate their results.

BFH
So far we already successfully concluded two projects with BFH Technik und Informatik, located here in Biel. We were particularly interested at exploring new ways to control our motors, and Prof. Dr. Thomas Niederhauser and his team (link) supported us during two bachelor thesis. First, Oliver Hess (here you can read his project abstract) studied how to characterize our motors and focused on the closed-loop control, including position tracking. Then, Daniel Beck (abstract) perfected the previous work by using model-based dynamics and a TMR sensor, thus increasing further the accuracy and speed of the control design.

