collaborators

9 papers

math.OC2025

Gaussian Process Dual MPC using Active Inference: An Autonomous Vehicle Usecase

Mohammad Mahmoudi Filabadi, Guillaume Crevecoeur, Tom Lefebvre

Designing controllers under uncertainty requires balancing the need to explore system dynamics with the requirement to maintain reliable control performance. Dual control addresses…

math.OC2025

Unifying Entropy Regularization in Optimal Control: From and Back to Classical Objectives via Iterated Soft Policies and Path Integral Solutions

Ajinkya Bhole, Mohammad Mahmoudi Filabadi, Guillaume Crevecoeur +1

This paper develops a unified perspective on several optimal control formulations through the lens of Kullback-Leibler (KL) regularization. We propose a central problem that separa…

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…

cs.RO2025

Dual Control Reference Generation for Optimal Pick-and-Place Execution under Payload Uncertainty

Victor Vantilborgh, Hrishikesh Sathyanarayan, Guillaume Crevecoeur +2

This work addresses the problem of robot manipulation tasks under unknown dynamics, such as pick-and-place tasks under payload uncertainty, where active exploration and(/for) onlin…

cs.RO2024

Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation

Victor Vantilborgh, Sander De Witte, Frederik Ostyn +2

Precise identification of dynamic models in robotics is essential to support control design, friction compensation, output torque estimation, etc. A longstanding challenge remains…