Human Workload and Ergonomics during Human-Robot Collaborative Electronic Waste Disassembly

Chen, Yuhao; Luo, Yue; Yerebakan, Mustafa Ozkan; Xia, Shuyan; Behdad, Sara; Hu, Boyi

doi:10.1109/ichms56717.2022.9980828

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…These were not included in this section because their primary focus did not revolve around HF/E topics. The limited number of application-based experimental studies currently available provide a rudimentary understanding of the implications of HRC for designing safe and efficient human-centric systems [182], [208]. A key constituent of these analyses is the biomechanical ergonomic studies that explore physical safety considerations.…”

Section: Bringing Hrc To Disassembly: Human Factors and Human-robotic...mentioning

confidence: 99%

Task allocation and planning for product disassembly with human–robot collaboration

Lee

Behdad

Liang

et al. 2022

Robotics and Computer-Integrated Manufacturing

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Section: Bringing Hrc To Disassembly: Human Factors and Human-robotic...mentioning

confidence: 99%

Task allocation and planning for product disassembly with human–robot collaboration

Lee

Behdad

Liang

et al. 2022

Robotics and Computer-Integrated Manufacturing

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“…Designing a system that leverages the strengths of both robots and humans may be beneficial in reducing the efficiency issues faced by the robot and the potential health concerns faced by agricultural workers who encounter these risks. Preliminary results suggest that this approach has reduced flexion angles in other occupational environments [ 7 , 8 ], and has resulted in increased overall accuracy and success rates [ 9 ]. The nature of the collaboration varies across industries and specific tasks, but a common feature is that the robot and the human are in close proximity without any physical barriers.…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensors Assess the Effects of Human–Robot Collaboration in Simulated Pollination

Yerebakan,

2024

Sensors

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Pollination for indoor agriculture is hampered by environmental conditions, requiring farmers to pollinate manually. This increases the musculoskeletal illness risk of workers. A potential solution involves Human–Robot Collaboration (HRC) using wearable sensor-based human motion tracking. However, the physical and biomechanical aspects of human interaction with an advanced and intelligent collaborative robot (cobot) during pollination remain unknown. This study explores the impact of HRC on upper body joint angles during pollination tasks and plant height. HRC generally resulted in a significant reduction in joint angles with flexion decreasing by an average of 32.6 degrees (p ≤ 0.001) for both shoulders and 30.5 degrees (p ≤ 0.001) for the elbows. In addition, shoulder rotation decreased by an average of 19.1 (p ≤ 0.001) degrees. However, HRC increased the left elbow supination by 28.3 degrees (p ≤ 0.001). The positive effects of HRC were reversed when the robot was unreliable (i.e., missed its target), but this effect was not applicable for the left elbow. The effect of plant height was limited with higher plant height increasing right shoulder rotation but decreasing right elbow pronation. These findings aim to shed light on both the benefits and challenges of HRC in agriculture, providing valuable insights before deploying cobots in indoor agricultural settings.

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“…By exploring the collaborative potential between human and robot labor, we aim to enhance both productivity and sustainability [39]. Human-Robot Collaboration, within the context of manufacturing waste utilization, is envisioned as a dynamic force that not only reduces manual labor but also enhances precision, contributing to a more efficient and sustainable industrial ecosystem [40][41][42][43]. Furthermore, the emphasis on manufacturing process improvement becomes imperative [44].…”

Section: Introductionmentioning

confidence: 99%

Manufacturing Waste for Sustainable Energy Generation: A Comprehensive Review of Current Methods and Future Trends

Khan

2023

Preprint

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The paper presents a thorough examination of the burgeoning field of utilizing manufacturing waste for sustainable energy generation, aligning with the global imperative for resource efficiency and clean energy solutions. With the manufacturing sector being a significant contributor to waste generation, this study explores innovative approaches to transform waste materials into valuable resources, thereby mitigating environmental impacts and contributing to a circular economy. This work critically reviews current trends, emphasizing technological advancements, policy interventions, and market dynamics shaping the manufacturing waste utilization landscape. Noteworthy developments, such as advanced sorting technologies and the integration of digital solutions, are discussed in detail, showcasing their role in enhancing the efficiency of waste management processes. The study outlines future trends in the field, anticipating a shift towards closed-loop systems guided by circular economy principles. This comprehensive review aims to contribute to the discourse on sustainable waste management and energy generation by providing a holistic perspective on the field's current state and offering insights into the future trajectories that will propel manufacturing waste toward a more sustainable and circular future. The synthesis of technological innovation, collaborative efforts, and evolving regulatory frameworks presents a compelling case for the continued exploration of manufacturing waste as a valuable resource in the pursuit of a more sustainable and energy-efficient world.

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Human Workload and Ergonomics during Human-Robot Collaborative Electronic Waste Disassembly

Cited by 11 publications

References 29 publications

Task allocation and planning for product disassembly with human–robot collaboration

Task allocation and planning for product disassembly with human–robot collaboration

Wearable Sensors Assess the Effects of Human–Robot Collaboration in Simulated Pollination

Manufacturing Waste for Sustainable Energy Generation: A Comprehensive Review of Current Methods and Future Trends

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