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eess.SY2025
How to Capture Human Preference: Commissioning of a Robotic Use-Case via Preferential Bayesian Optimisation
Sander De Witte, Jeroen Taets, Andras Retzler +2
The popularity of Bayesian Optimization (BO) to automate or support the commissioning of engineering systems is rising. Conventional BO, however, relies on the availability of a sc…
eess.SY2025
Differential Flatness of Quasi-Static Slider-Pusher Models with Applications in Control
Sander De Witte, Tom Lefebvre, Thomas Neve +2
This paper investigates the dynamic properties of planar slider-pusher systems as a motion primitive in manipulation tasks. To that end, we construct a differential kinematic model…
eess.SY2021
Adaptive control of a mechatronic system using constrained residual reinforcement learning
Tom Staessens, Tom Lefebvre, Guillaume Crevecoeur
We propose a simple, practical and intuitive approach to improve the performance of a conventional controller in uncertain environments using deep reinforcement learning while main…