Author:
Lorenzini Marta,Lagomarsino Marta,Fortini Luca,Gholami Soheil,Ajoudani Arash
Abstract
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.
Funder
European Research Council
Horizon 2020
Subject
Artificial Intelligence,Computer Science Applications
Reference254 articles.
1. TLVs: Threshold limit values for chemical substances and physical substances in the workroom environment with intended changes for 1981,1981
2. Using eye movement activity as a correlate of cognitive workload;Ahlstrom;Int. J. Industrial Ergonomics,2006
3. Person-specific behavioural features for automatic stress detection;Aigrain,2015
4. Mental stress quantification using EEG signals;Al-Shargie,2016
5. Observational methods for assessing ergonomic risks for work-related musculoskeletal disorders. a scoping review;Andreas;Rev. Cienc. salud,2018
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献