Bram van de Vrande — accepted AI-conference papers

2025

Non-Conservative Obstacle Avoidance for Multi-Body Systems Leveraging Convex Hulls and Predicted Closest Points

Lotte Rassaerts, Eke Suichies, Bram van de Vrande, Marco Alonso, Bas Meere, Michelle Chong +1

ICRA 2025

This paper introduces a novel approach that integrates future closest point predictions into the distance constraints of a collision avoidance controller, leveraging convex hulls with closest point distance calculations. By addressing abrupt shifts in closest points, this method effectively reduces

Cited by 1 Source ↗Scholar ↗

2024

A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers

Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy, Saray Bakker, Bram van de Vrande, Henry Stoutjesdijk +2

ICRA 2024poster

This paper presents a Bayesian optimization framework for the automatic tuning of shared controllers which are defined as a Model Predictive Control (MPC) problem. The proposed framework includes the design of performance metrics as well as the representation of user inputs for simulation-based opti…

Cited by 2 Source ↗Scholar ↗