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Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task

Pantano, Matteo and Curioni, Arianna and Regulin, Daniel and Kamps, Tobias and Lee, Dongheui (2024) Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task. In: 22nd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2023, pp. 1-8. IEEE. 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 2023-12-12 - 2023-12-14, Austin, TX, USA. doi: 10.1109/Humanoids57100.2023.10375163. ISBN 979-835030327-8. ISSN 2164-0572.

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Official URL: https://ieeexplore.ieee.org/document/10375163

Abstract

With the trend of low batch manufacturing, more and more small and medium enterprises are leaning towards adopting collaborative robots to increase productivity and improve operator well-being. However, robots are often programmed by robot experts rather than the operators effectively working with the machine. Therefore, operators may perceive low levels of task autonomy due to the unpredictability of robot motions. Empowering operators to make their own choices regarding robot motions can improve such feelings. However, research in cognitive science shows that allowing operators to decide on robot motions in a collaborative task could be influenced by how people consider their travel path and their partner's action. To better understand these relations, considering preliminary results from a previous study, we designed a user study where we tested operators' decisions in a collaborative task where groups of robot experts and novices were asked to choose their preferred task configuration among four possible options that differed in terms of operators' physical ergonomics and robot travel path. Our results show that robotic experts prioritize joint team work rather than their ergonomics. Contrarily, novices prioritize individual efforts and tend to reduce the robot travel path while keeping their travel path constant, maintaining good physical ergonomics. In conclusion, providing operators with task decision autonomy can be advantageous, but operator background must be considered to ensure optimal physical ergonomics and travel paths.

Item URL in elib:https://elib.dlr.de/202164/
Document Type:Conference or Workshop Item (Speech)
Title:Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Pantano, MatteoSiemenshttps://orcid.org/0000-0002-5420-0038UNSPECIFIED
Curioni, AriannaTU WienUNSPECIFIEDUNSPECIFIED
Regulin, DanielSiemensUNSPECIFIEDUNSPECIFIED
Kamps, TobiasSiemensUNSPECIFIEDUNSPECIFIED
Lee, DongheuiUNSPECIFIEDhttps://orcid.org/0000-0003-1897-7664UNSPECIFIED
Date:1 January 2024
Journal or Publication Title:22nd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/Humanoids57100.2023.10375163
Page Range:pp. 1-8
Publisher:IEEE
ISSN:2164-0572
ISBN:979-835030327-8
Status:Published
Keywords:Human-Robot Collaboration
Event Title:2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids)
Event Location:Austin, TX, USA
Event Type:international Conference
Event Start Date:12 December 2023
Event End Date:14 December 2023
Organizer:IEEE-RAS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Basic Technologies [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Deposited By: Strobl, Dr. Klaus H.
Deposited On:23 Jan 2024 15:22
Last Modified:24 Apr 2024 21:02

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