Framework for the adoption, evaluation and impact of occupational Exoskeletons at different technology readiness levels: A systematic review

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Robotics and Autonomous Systems Pub Date : 2024-07-02 DOI:10.1016/j.robot.2024.104743
Jamil Ahmad , Vasco Fanti , Darwin G. Caldwell , Christian Di Natali
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Abstract

Work-related Musculoskeletal Disorders (WMSDs) are the most common occupational diseases caused by the prolonged performance of strenuous work, such as manual handling of loads or long-term maintenance of incongruous postures. Different safety protocols are implemented to reduce WMSDs and optimize the working environment, but one of the most promising solutions is using occupational exoskeletons (OEs). However, to truly acknowledge the benefits of OEs and be able to introduce them into daily business use, devices must pass several development and testing stages that determine the Technology Readiness Level (TRL). This review study aims to present an up-to-date collection of the most advanced assessments of exoskeletons for upper and back support, ranging from laboratory real-task simulations to operational scenarios in industrial sites. To identify relevant studies, we conducted comprehensive searches across different electronic databases, i.e., PubMed, Scopus, and Web of Science. Different keywords were used for the literature search, e.g., occupational exoskeleton, industrial exoskeleton, etc. Studies were included if they investigated the assessment of exoskeletons in the laboratory with real tasks or an industrial environment. We identified 45 research articles that fulfilled this selection criterion. Several features are compared and discussed in detail, such as industrial environment, experimental protocol, task performed, and exoskeleton typology. These data allowed us to formulate results that report the correspondence or discrepancy between the number of papers testing exoskeletons and WMSDs in different industrial sectors, the type of assessment performed, and the impact of exoskeletons on workers and industries at different TRLs. Among the results, the incidence of WMSDs in the manufacturing industry is 21.13%, while the adoption of exoskeletons in the same field is the highest with respect to the other industrial fields, at 44.45%. Electromyography (EMG) and Questionnaires were the most evaluated typologies across all development and testing stages (with an incidence of 64% across the selected articles). Additionally, an average reduction of EMG activity was reported, with 24% for Upper Limb and 20% for Back Support. Regarding the subjective assessment reported in the questionnaires, 68% of the studies reported a positive evaluation. Based on these outcomes, this work provides a framework for an effective evaluation process for the OEs to raise TRL with recommendations for future research activities.

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不同技术就绪程度的职业外骨骼的采用、评估和影响框架:系统回顾
与工作相关的肌肉骨骼疾病(WMSDs)是最常见的职业病,是由于长时间从事体力劳动(如人工搬运负荷或长期保持不协调的姿势)而引起的。为减少 WMSDs 和优化工作环境,人们实施了不同的安全方案,但最有前途的解决方案之一是使用职业外骨骼(OE)。然而,要真正认识到职业外骨骼的益处并将其引入日常业务使用,设备必须通过多个开发和测试阶段,这些阶段决定了技术就绪水平(TRL)。本综述研究旨在介绍对用于上部和背部支撑的外骨骼进行的最先进评估的最新资料,评估范围从实验室实际任务模拟到工业现场的操作场景。为了确定相关研究,我们在不同的电子数据库(即 PubMed、Scopus 和 Web of Science)中进行了全面搜索。文献搜索使用了不同的关键词,如职业外骨骼、工业外骨骼等。如果研究调查了外骨骼在实验室实际任务或工业环境中的评估情况,则会被纳入其中。我们确定了 45 篇符合这一选择标准的研究文章。我们比较并详细讨论了一些特征,如工业环境、实验方案、执行的任务和外骨骼类型。通过这些数据,我们得出了一些结果,报告了在不同工业领域测试外骨骼和 WMSDs 的论文数量、进行的评估类型以及外骨骼在不同 TRLs 下对工人和工业的影响之间的对应或差异。结果显示,制造业的 WMSDs 发生率为 21.13%,而与其他工业领域相比,外骨骼在同一领域的采用率最高,为 44.45%。肌电图(EMG)和问卷调查是在所有开发和测试阶段评估最多的类型(在所选文章中的发生率为 64%)。此外,据报告,EMG 活动平均减少了 24%(上肢)和 20%(背部支撑)。关于调查问卷中的主观评估,68%的研究报告给予了积极评价。基于这些结果,这项工作为提高 TRL 的 OE 提供了一个有效评估流程框架,并为未来的研究活动提出了建议。
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
期刊最新文献
A survey of demonstration learning Model-less optimal visual control of tendon-driven continuum robots using recurrent neural network-based neurodynamic optimization Editorial Board GSC: A graph-based skill composition framework for robot learning DewROS2: A platform for informed Dew Robotics in ROS
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