Understanding situational and mode awareness for safe human-robot collaboration: case studies on assembly applications
2019 (English)In: Production Engineering, ISSN 0944-6524, E-ISSN 1863-7353, Vol. 13, no 1, p. 1-9Article in journal (Refereed) Published
Abstract [en]
In order for humans and robots to collaborate on an assembly line, safety of operations is a prerequisite. In this article, two assembly stations where a large industrial robots collaborate with humans will be analysed with the aim to 1. determine the characteristics of hazards associated with human-robot interaction and 2. design solutions that can mitigate risks associated with these hazards. To support the aim of this article, a literature review will attempt to characterize automation and detail the problems associated with human-automation interaction. The analysis points at situational awareness and mode-awareness as contributing factors to operator and process safety. These underlying mechanisms, if recognised by the risk assessment team as hazards, can mitigate risks of operator injury or production delays. This article details the function of visual and physical interfaces that allow operators to comprehend system-state in order to avoid undesirable situations.
Place, publisher, year, edition, pages
Springer, 2019. Vol. 13, no 1, p. 1-9
Keywords [en]
Human-robot collaboration (HRC), Industrial safety, Mode awareness, Situational awareness, Accident prevention, Hazards, Human computer interaction, Industrial robots, Interface states, Man machine systems, Risk assessment, Risk management, Contributing factor, Human-automation interactions, Human-robot collaboration, Literature reviews, Operator injuries, Physical interface, Human robot interaction
National Category
Robotics and automation Human Computer Interaction
Identifiers
URN: urn:nbn:se:hj:diva-46267DOI: 10.1007/s11740-018-0868-2ISI: 000457944600001Scopus ID: 2-s2.0-85058656783OAI: oai:DiVA.org:hj-46267DiVA, id: diva2:1352773
Funder
Vinnova2019-09-192019-09-192025-02-05Bibliographically approved