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Eric Demeester

Professor

Katholieke Universiteit Leuven
Country flagBelgium

Research Interests

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About

Eric Demeester is an Assistant Professor at the University of Leuven, Belgium. His research focuses on robotics and human-robot collaboration, with recent contributions including studies on haptic teleoperation control systems, deep learning for robotic grasping, and automation in agricultural robotics. He is also involved in the development of decision models for adaptive task planning in collaborative assembly environments.

Articles (17)

Year:

2026

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2026

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2026

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2026

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2026

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2025

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2025

Industrial robots are capable of performing automated tasks repeatedly, reliably and accurately. However, in some scenarios, human-in-the-loop control is required. In this case, having an intuitive system for moving the robot within the working environment is crucial. Additionally, the operator should be aided by sensory feedback to obtain a user-friendly robot control system. Haptic feedback is one way of achieving such a system. This paper designs and assesses an intuitive teleoperation system for controlling an industrial 6-DoF robotic manipulator using a Geomagic Touch haptic interface. The system utilises both virtual environment-induced and physical sensor-induced haptic feedback to provide the user with both a higher amount of environmental awareness and additional safety while manoeuvering the robot within its working area. Different tests show that the system is capable of fully stopping the manipulator without colliding with the environment, and preventing it from entering singularity states with Cartesian end effector velocities of up to 0.25 m/s. Additionally, an operator is capable of executing low-tolerance end effector positioning tasks (∼0.5 mm) with high-frequency control of the robot (∼100 Hz). Fourteen inexperienced volunteers were asked to perform a typical object removal and writing task to gauge the intuitiveness of the system. It was found that when repeating the same test for a second time, the participants performed 22.2% faster on average. The results for the second attempt also became significantly more consistent between participants, as the inter quartile range dropped by 82.7% (from 52 s on the first attempt to 9 s on the second).

Year:

2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

Year:

2021

Collaborators (2)

Karel Kellens

Prof. dr. ing. at KU Leuven

KU Leuven

BELGIUM
View details

Nikolaos Tsiogkas

Assistant Professor

KU Leuven

BELGIUM
View details
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