Comparison of Solo and Collaborative Trimanual Operation of a Supernumerary Limb in Tasks With Varying Physical Coupling

Through the use of robotic supernumerary limbs, it has been proposed that a single user could perform tasks like surgery or industrial assembly that currently require a team. Although validation studies, often conducted in virtual reality, have demonstrated that individuals can learn to command supernumerary limbs, comparisons typically suggest that a team initially outperforms a supernumerary limb operating individual. In this study, we examined (i) the impact of using a commercially available physical robot setup instead of a virtual reality system and (ii) the effect of limb couplings on user performance during a series of trimanual operations. Contrary to previous findings, our results indicate no clear difference in user performance when working as a trimanual user, in the pick and place of three objects, compared to when working as a team. Additionally, for this task we observe that while users prefer working with a partner when they control most limbs, we find no clear difference in their preference between solo trimanual operation and when they work with a partner and control the third limb. These findings indicate that factors typically not present in virtual reality such as visual occlusion and haptic feedback may be vital to consider for the effective operation of supernumerary limbs, and provide initial evidence to support the viability of supernumerary limbs for a range of physical tasks.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-12-11
DOI
https://doi.org/10.1109/lra.2024.3515734
Citations
3
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
1.03

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article

Comparison of Solo and Collaborative Trimanual Operation of a Supernumerary Limb in Tasks With Varying Physical Coupling

Etienne Burdet, Mahdi Khoramshahi, Jonathan Eden, Alexis Poignant et al.
3 citations
IEEE Robotics and Automation Letters
Motor Control and Adaptation
1.03
article

Comparison of Solo and Collaborative Trimanual Operation of a Supernumerary Limb in Tasks With Varying Physical Coupling

Etienne Burdet, Mahdi Khoramshahi, Jonathan Eden, Alexis Poignant, Nathanaël Jarrassé, Yanpei Huang
article en
3 citations

Abstract

Through the use of robotic supernumerary limbs, it has been proposed that a single user could perform tasks like surgery or industrial assembly that currently require a team. Although validation studies, often conducted in virtual reality, have demonstrated that individuals can learn to command supernumerary limbs, comparisons typically suggest that a team initially outperforms a supernumerary limb operating individual. In this study, we examined (i) the impact of using a commercially available physical robot setup instead of a virtual reality system and (ii) the effect of limb couplings on user performance during a series of trimanual operations. Contrary to previous findings, our results indicate no clear difference in user performance when working as a trimanual user, in the pick and place of three objects, compared to when working as a team. Additionally, for this task we observe that while users prefer working with a partner when they control most limbs, we find no clear difference in their preference between solo trimanual operation and when they work with a partner and control the third limb. These findings indicate that factors typically not present in virtual reality such as visual occlusion and haptic feedback may be vital to consider for the effective operation of supernumerary limbs, and provide initial evidence to support the viability of supernumerary limbs for a range of physical tasks.

IEEE Robotics and Automation LettersVol. 10(2)
The University of Melbourne (AU), Sorbonne Université (FR), Institut Systèmes Intelligents et de Robotique (FR), Imperial College London (GB)
National Science Foundation, European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Geospatial-Intelligence Agency, Horizon 2020 Framework Programme
Openalex Percentile: Top 23%
Motor Control and Adaptation
1.03
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