Feasibility Analysis of Safety Training in Human-Robot Collaboration Scenario: Virtual Reality Use Case

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

18 Lataukset (Pure)

Abstrakti

Design and modification of human-robot collaboration workspace requires analysis of the safety of systems. Generally, the safety analysis process of a system commences with conducting a risk assessment. There exists a number international standards for design robotics work cells and collaborative shared workspaces. These guidelines expound on principles and measures to identify hazards and reduce risks. Measures of risk reductions include eliminating hazards by design, safeguarding, and providing supplementary protective measures such as user training. This study analyzed the technical feasibility and industrial readiness of Virtual Reality (VR) technology for safety training in manufacturing sector. The test case of a VR-based safety training application is defined in the human-robot collaboration pilot-line of diesel engines. The Analytic Hierarchy Process method was utilized for conducting a quantitative analysis of the survey with ten experts. The participants performed the importance rating with respect to two hierarchy level criteria. Regarding the evaluation of safety training methods in a human-robot collaboration environment, two alternatives of traditional and Virtual Reality -based training are compared. The results indicates that the VR-based training is valued over the traditional method, with a scored proportion of approximately 65 percent over 35 percent.

AlkuperäiskieliEnglanti
OtsikkoFlexible Automation and Intelligent Manufacturing
AlaotsikkoThe Human-Data-Technology Nexus - Proceedings of FAIM 2022
ToimittajatKyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli
KustantajaSpringer
Sivut246-256
Sivumäärä11
ISBN (painettu)9783031183256
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Flexible Automation and Intelligent Manufacturing - Detroit, Michigan, Yhdysvallat
Kesto: 19 kesäk. 202223 kesäk. 2022

Julkaisusarja

NimiLecture Notes in Mechanical Engineering
ISSN (painettu)2195-4356
ISSN (elektroninen)2195-4364

Conference

ConferenceInternational Conference on Flexible Automation and Intelligent Manufacturing
Maa/AlueYhdysvallat
KaupunkiDetroit, Michigan
Ajanjakso19/06/2223/06/22

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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