Presentation
Evaluating the Impact of Collaborative Robots in E-Waste Disassembly through EMG-EMG Coherence Analysis
SessionOE11: Fatigue
DescriptionElectronic waste (e-waste) disassembly involves extracting components to reduce overall e-waste volume and enhance recycling or reuse. This study employed surface electromyography (EMG) to investigate whether cobots can enhance muscle coordination during this proces. Two types of trials were designed: cobot-assisted and manual disassembly. EMG-EMG coherence in both beta and gamma bands was calculated from 22 participants to quantify coordination between four muscle groups—biceps brachii (BB), brachioradialis (BR), upper trapezius (UT), and erector spinae (ES). Comparison results showed that significant increases in left BR&BB, BR&UT, BR&ES, and BB&UT pairs, right BR&BB, BR&UT, and BB&ES pairs, and bilateral BR pair were observed. Notably, left BR&ES presented the most substantial increase at 18.88% and 26.39% in the beta and gamma bands, respectively (p < 0.05). These findings suggest that cobots hold potential to enhance muscle coordination during e-waste disassembly, thereby shedding light on the construction of HRC-based e-waste disassembly systems.
Contributor
Event Type
Lecture
TimeThursday, September 12th4:35pm - 4:55pm MST
LocationFLW Salon H
Occupational Ergonomics