Enhancing ergonomics in E-waste disassembly: the impact of collaborative robotics on muscle activation and coordination

Disassembly, as a part of the electronic waste (e-waste) management process, is a labour-intensive task. The emergence of collaborative robots (cobots) provides a robotic solution to reduce the human efforts during disassembly. This study evaluated muscle activation patterns during cobot-assisted e-waste disassembly using surface electromyography (EMG). Twenty-two participants were recruited to perform disassembly tasks with and without cobot assistance. EMG signals from biceps brachii (BB), brachioradialis (BR), upper trapezius (UT), and erector spinae (ES) were collected simultaneously. Six features were then calculated to determine muscle activation patterns. Additionally, EMG-EMG coherence analysis was conducted for BR and ES muscles. Results showed a significant reduction in muscle activity with cobot assistance, particularly in the left ES muscle (46.4% decrease). Moreover, coherence between BR and ES muscles significantly increased. These findings indicate the proposed collaboration strategy not only reduces the muscle activity but also sheds light on enhancing muscle coordination during e-waste disassembly.

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Publication Details

Journal
Ergonomics
Published
2024-12-04
DOI
https://doi.org/10.1080/00140139.2024.2436534
Citations
2
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.59

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article

Enhancing ergonomics in E-waste disassembly: the impact of collaborative robotics on muscle activation and coordination

Boyi Hu, Sara Behdad, Chizhao Yang, Wang Xiang-rui et al.
2 citations
Ergonomics
Recycling and Waste Management Techniques
0.59
article

Enhancing ergonomics in E-waste disassembly: the impact of collaborative robotics on muscle activation and coordination

Boyi Hu, Sara Behdad, Chizhao Yang, Wang Xiang-rui, Nicolas Grimaldi, Minghui Zheng
article en
2 citations

Abstract

Disassembly, as a part of the electronic waste (e-waste) management process, is a labour-intensive task. The emergence of collaborative robots (cobots) provides a robotic solution to reduce the human efforts during disassembly. This study evaluated muscle activation patterns during cobot-assisted e-waste disassembly using surface electromyography (EMG). Twenty-two participants were recruited to perform disassembly tasks with and without cobot assistance. EMG signals from biceps brachii (BB), brachioradialis (BR), upper trapezius (UT), and erector spinae (ES) were collected simultaneously. Six features were then calculated to determine muscle activation patterns. Additionally, EMG-EMG coherence analysis was conducted for BR and ES muscles. Results showed a significant reduction in muscle activity with cobot assistance, particularly in the left ES muscle (46.4% decrease). Moreover, coherence between BR and ES muscles significantly increased. These findings indicate the proposed collaboration strategy not only reduces the muscle activity but also sheds light on enhancing muscle coordination during e-waste disassembly.

ErgonomicsVol. 68(11)
West Virginia University (US), University of Florida (US), Institute of Aerial Geodesy (Lithuania) (LT), Walker (United States) (US), Texas A&M University (US)
National Science Foundation
Openalex Percentile: Top 29%
Recycling and Waste Management Techniques
0.59
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