2 papers
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…
cs.LG2022
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
Rembert Daems, Jeroen Taets, Francis wyffels +1
We present KeyCLD, a framework to learn Lagrangian dynamics from images. Learned keypoints represent semantic landmarks in images and can directly represent state dynamics. We show…