Laurent Vermeiren — accepted AI-conference papers

2026

Continuous Identification of Time-Varying Human Impedance During Physical Human-Robot Interaction

Bilal Tout, Jason Chevrie, Antoine Dequidt, Laurent Vermeiren

RA-L 2026

This paper provides a systemic method for continuously identifying human joint impedance parameters during physical interaction with a robotic system without the need for external sensors. To this end, several identification methods combining payload identification methods with online identification

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2023

Towards Continuous Identification of Passive Human Joint Impedance Using Physical Human-Robot Interaction System

Bilal Tout, Jason Chevrie, Antoine Dequidt, Laurent Vermeiren

IROS 2023poster

The identification of human joint impedance is necessary for various applications, such as improving rehabilitation efficiency or monitoring the human operator's state (fatigue, stress). To this end, in this paper we combine robot's payload identification methods with sliding window recursive least…

Cited by 0 Source ↗Scholar ↗