Addressing Operator Physical Ergonomics in Teleoperation with Multi-Modal Dynamic Workspace Re-Indexing

Conference Paper (2025)
Author(s)

Thijs Exterkate (Student TU Delft)

N. Mol (TU Delft - Human-Robot Interaction)

David Abbink (TU Delft - Human-Robot Interaction)

J.M. Prendergast (TU Delft - Human-Robot Interaction)

L. Peternel (TU Delft - Human-Robot Interaction)

Research Group
Human-Robot Interaction
DOI related publication
https://doi.org/10.1109/Humanoids65713.2025.11203096
More Info
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Publication Year
2025
Language
English
Research Group
Human-Robot Interaction
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/publishing/publisher-deals Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
229-236
ISBN (electronic)
979-8-3315-9869-3
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Abstract

This paper presents a multi-modal dynamic workspace re-indexing method for addressing operator ergonomics and workspace limitations. The proposed method has two interactive modes: pose-to-pose mode, which is active when the operator is within an ergonomic workspace of comfortable arm postures, and ergonomic workspace drift mode, which activates after the operator makes an excursion beyond the boundaries of the ergonomic workspace when trying to reach more distant targets with the remote robot. In the ergonomic workspace drift mode, the operator temporarily stays slightly outside these boundaries, while the offset between the local and remote workspace drifts with a velocity proportional to the excursion distance. This dynamically re-indexes the remote workspace toward the distant target, and the operator can remain in a comfortable posture while the remote robot moves toward the intended target where the task is. To construct the ergonomic workspace, we employed the Rapid Upper Limb Assessment method. To validate the proposed method, we conducted experiments on a teleoperation setup involving a Force Dimension Sigma7 haptic device controlling a Kuka LBR iiwa robotic arm. The results show that the proposed controller successfully addresses workspace limitations by dynamically reindexing the follower's workspace towards target objects, while maintaining good operator ergonomics.

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