Measuring anthropomorphism of a new humanoid hand-arm system

Existing perceptional and analytical techniques for quantifying anthropomorphism of robotic hand-arm systems have significant limitations. The former is based on subjective appraisals by human observers, which are prone to biases. The latter frequently disregards the manipulability of the robotic ha...

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Main Authors: Sinha, Anoop Kumar, Thalmann, Nadia Magnenat, Cai, Yiyu
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170298
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author Sinha, Anoop Kumar
Thalmann, Nadia Magnenat
Cai, Yiyu
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Sinha, Anoop Kumar
Thalmann, Nadia Magnenat
Cai, Yiyu
author_sort Sinha, Anoop Kumar
collection NTU
description Existing perceptional and analytical techniques for quantifying anthropomorphism of robotic hand-arm systems have significant limitations. The former is based on subjective appraisals by human observers, which are prone to biases. The latter frequently disregards the manipulability of the robotic hand-arm system leading to potentially flawed estimation of anthropomorphism. Additionally, prior methodologies have predominantly focused on assessing anthropomorphism of robotic hands while paying scant attention to that of robotic arms. In this paper, we propose an analytical method to quantify the functional anthropomorphism of robotic hand-arm systems. In this method, relative workspace coverage and manipulability of the robot arm and fingers are compared with those of the human arm and fingers. The proposed methodology is then used to quantify functional anthropomorphism of several hand-arm systems, including our new full-scale humanoid robot hand-arm system, the iCub hand-arm system, and robot arms such as Atlas, H20, and Hubo2+/Sophia, as well as robot hands like Shadow, DEXMART, and SEOULTECH. Our new robot hand-arm system has a functional anthropomorphism of 23.31%, while iCub’s is 35.96%. Atlas, H20, and Hubo2+/Sophia robot arm have functional anthropomorphism of 24.79%, 12.82%, and 29.64%, respectively, while Shadow, DEXMART, and SEOULTECH robot hands have functional anthropomorphism of 36.96%, 48.91%, and 25.33%, respectively. The proposed method is an effective tool for designers to quantitatively compare the human-likeness of both new and existing robotic hand-arm systems and identify possible improvements in the design. We further conducted a series of kinematic experiments to ascertain the kinematic capabilities of our humanoid robot hand-arm system.
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spelling ntu-10356/1702982023-09-06T02:41:54Z Measuring anthropomorphism of a new humanoid hand-arm system Sinha, Anoop Kumar Thalmann, Nadia Magnenat Cai, Yiyu School of Mechanical and Aerospace Engineering Institute for Media Innovation (IMI) Engineering::Mechanical engineering Anthropomorphism Robotic Hand-Arm System Existing perceptional and analytical techniques for quantifying anthropomorphism of robotic hand-arm systems have significant limitations. The former is based on subjective appraisals by human observers, which are prone to biases. The latter frequently disregards the manipulability of the robotic hand-arm system leading to potentially flawed estimation of anthropomorphism. Additionally, prior methodologies have predominantly focused on assessing anthropomorphism of robotic hands while paying scant attention to that of robotic arms. In this paper, we propose an analytical method to quantify the functional anthropomorphism of robotic hand-arm systems. In this method, relative workspace coverage and manipulability of the robot arm and fingers are compared with those of the human arm and fingers. The proposed methodology is then used to quantify functional anthropomorphism of several hand-arm systems, including our new full-scale humanoid robot hand-arm system, the iCub hand-arm system, and robot arms such as Atlas, H20, and Hubo2+/Sophia, as well as robot hands like Shadow, DEXMART, and SEOULTECH. Our new robot hand-arm system has a functional anthropomorphism of 23.31%, while iCub’s is 35.96%. Atlas, H20, and Hubo2+/Sophia robot arm have functional anthropomorphism of 24.79%, 12.82%, and 29.64%, respectively, while Shadow, DEXMART, and SEOULTECH robot hands have functional anthropomorphism of 36.96%, 48.91%, and 25.33%, respectively. The proposed method is an effective tool for designers to quantitatively compare the human-likeness of both new and existing robotic hand-arm systems and identify possible improvements in the design. We further conducted a series of kinematic experiments to ascertain the kinematic capabilities of our humanoid robot hand-arm system. National Research Foundation (NRF) This research is supported by the National Research Foundation, Singapore under its International Research Centres in Singapore Funding Initiative. 2023-09-06T02:41:53Z 2023-09-06T02:41:53Z 2023 Journal Article Sinha, A. K., Thalmann, N. M. & Cai, Y. (2023). Measuring anthropomorphism of a new humanoid hand-arm system. International Journal of Social Robotics, 15(8), 1341-1363. https://dx.doi.org/10.1007/s12369-023-00999-x 1875-4791 https://hdl.handle.net/10356/170298 10.1007/s12369-023-00999-x 2-s2.0-85159651340 8 15 1341 1363 en International Journal of Social Robotics © 2023 The Author(s), under exclusive licence to Springer Nature B.V.
spellingShingle Engineering::Mechanical engineering
Anthropomorphism
Robotic Hand-Arm System
Sinha, Anoop Kumar
Thalmann, Nadia Magnenat
Cai, Yiyu
Measuring anthropomorphism of a new humanoid hand-arm system
title Measuring anthropomorphism of a new humanoid hand-arm system
title_full Measuring anthropomorphism of a new humanoid hand-arm system
title_fullStr Measuring anthropomorphism of a new humanoid hand-arm system
title_full_unstemmed Measuring anthropomorphism of a new humanoid hand-arm system
title_short Measuring anthropomorphism of a new humanoid hand-arm system
title_sort measuring anthropomorphism of a new humanoid hand arm system
topic Engineering::Mechanical engineering
Anthropomorphism
Robotic Hand-Arm System
url https://hdl.handle.net/10356/170298
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