Lorenzini Marta, Lagomarsino Marta, Fortini Luca, Gholami Soheil, Ajoudani Arash
Human-Robot Interfaces and Physical Interaction Laboratory, Italian Institute of Technology, Genoa, Italy.
Neuroengineering and Medical Robotics Laboratory, Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy.
Front Robot AI. 2023 Jan 3;9:813907. doi: 10.3389/frobt.2022.813907. eCollection 2022.
In the current industrial context, the importance of assessing and improving workers' health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts' needs and limits. To this end, a thorough and comprehensive evaluation of an individual's ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot's behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces.
在当前的工业背景下,评估和改善工人健康状况的重要性已得到广泛认可。物理和心理社会因素都会损害基本的舒适度和幸福感,增加疾病和伤害的发生率,并影响他们的生活质量。人机交互与协作框架是预防和减轻工作场所风险因素的可能解决方案之一。协作机器人所具备的日益先进的控制策略和规划方案,有潜力在执行混合任务时,通过满足人类伙伴的需求和限制,促进富有成效和高效的协作。为此,必须考虑对个人工效学进行全面而深入的评估,即工作量对人类心理生理状态的直接影响。在这篇综述文章中,我们概述了现有的工效学评估工具以及可用的监测技术,以驱动和调整协作机器人的行为。接下来介绍了工效学人机协作框架的初步尝试,并讨论了当前的局限性和挑战。最后强调了未来的趋势和有前景的主题,旨在促进全球工作场所的安全、健康和平等。