Ultimate Passivity

Balancing Performance and Stability in Physical Human-Robot Interaction

Journal Article (2025)
Author(s)

Xinliang Guo (University of Melbourne)

Zheyu Liu (University of Melbourne)

Vincent Crocher (University of Melbourne)

Si Ying Tan (University of Melbourne)

Denny Oetomo (University of Melbourne)

A.H.A. Stienen (TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Biomechatronics & Human-Machine Control
DOI related publication
https://doi.org/10.1109/TRO.2025.3546856
More Info
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Publication Year
2025
Language
English
Research Group
Biomechatronics & Human-Machine Control
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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
Volume number
41
Pages (from-to)
2050-2066
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Abstract

Haptic interaction is critical in physical Human-Robot Interaction (pHRI), given its wide applications in manufacturing, medical and healthcare, and various industry tasks. A stable haptic interface is always needed while the human operator interacts with the robot. Passivity-based approaches have been widely utilised in the control design as a sufficient condition for stability. However, it is a conservative approach which therefore sacrifices performance to maintain stability. This paper proposes a novel concept to characterise an ultimately passive system, which can achieve the boundedness of the energy in the steady-state. A so-called Ultimately Passive Controller (UPC) is then proposed. This algorithm switches the system between a nominal mode for keeping desired performance and a conservative mode when needed to remain stable. An experimental evaluation on two robotic systems, one admittance-based and one impedance-based, demonstrates the potential interest of the proposed framework compared to existing approaches. The results demonstrate the possibility of UPC in finding a more aggressive trade-off between haptic performance and system stability, while still providing a stability guarantee.

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