8 citations · 14 across the 21 of their papers we have counts for
22 papers
Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation
Hrishikesh Sathyanarayan, Victor Vantilborgh, Harish Ravichandar +2
Reliable robotic manipulation requires control policies that can accurately represent and adapt to uncertainty arising from contact-rich interactions. Modern data-driven methods mi…
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…
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…
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…
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…
Learning On The Job: Zero-Shot Task Execution under Parametric Uncertainty via Trajectory-Parametrized Dual Control
Victor Vantilborgh, Hrishikesh Sathyanarayan, Guillaume Crevecoeur +2
Model-based control can achieve reliable task performance, but its effectiveness depends on the accuracy of the underlying model. Robots operating under model uncertainty must ofte…