Cobot And Robot Risk Assessment (CARRA) method: an Automation Level-Based Safety Assessment Tool to Improve Fluency in Safe Human Cobot/Robot Interaction

Autor:	Mohammed Ameen, Ahmad Mumani, Shamika Pujari, Richard T. Stone, Colten Fales
Rok vydání:	2021
Předmět:	Medical Terminology Fluency Computer science Human–computer interaction business.industry Robot Risk assessment business Automation Medical Assisting and Transcription
Zdroj:	Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65:737-741
ISSN:	1071-1813 2169-5067
Popis:	Cobots and robots are integral to automated manufacturing operations. Although there are many studies in the field of industrial robots and cobots to make them safer the number of OSHA accidents due to cobots and robots has not decreased. Even though these cobots are considered inherently safe, they open more probability for accidents because they are not caged. Therefore, it is necessary for the manufacturing industries using cobots to consider the risk involved in human cobot interaction and the ways to attain safety and lower the risk of injury before installing cobots on assembly lines. A user-centric tool was developed to perform an ergonomic risk assessment using process- failure mode effect analysis for different automation levels in human-cobot interaction. The tool suggests recommended actions and various options to eliminate physical injuries. The results provide insights about safety analysis that can be used by manufacturers to improve safe human cobot interaction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::957bb54316d09375354be34192709966 https://doi.org/10.1177/1071181321651024 Zobrazit plný text záznamu