Enhancing Robustness in Manipulability Assessment: The Pseudo-Ellipsoid Approach

Erfan Shahriari, Kim Kristin Peper, Matej Hoffmann, Sami Haddadin

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Manipulability analysis is a methodology employed to assess the capacity of an articulated system, at a specific configuration, to produce motion or exert force in diverse directions. The conventional method entails generating a virtual ellipsoid using the system's configuration and model. Yet, this approach poses challenges when applied to systems such as the human body, where direct access to such information is limited, necessitating reliance on estimations. Any inaccuracies in these estimations can distort the ellipsoid's configuration, potentially compromising the accuracy of the manipulability assessment. To address this issue, this article extends the standard approach by introducing the concept of the manipulability pseudo-ellipsoid. Through a series of theoretical analyses, simulations, and experiments, the article demonstrates that the proposed method exhibits reduced sensitivity to noise in sensory information, consequently enhancing the robustness of the approach.

OriginalspracheEnglisch
Titel2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1329-1336
Seitenumfang8
ISBN (elektronisch)9798350377705
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, Vereinigte Arabische Emirate
Dauer: 14 Okt. 202418 Okt. 2024

Publikationsreihe

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (elektronisch)2153-0866

Konferenz

Konferenz2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Land/GebietVereinigte Arabische Emirate
OrtAbu Dhabi
Zeitraum14/10/2418/10/24

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