Feasibility Analysis of Safety Training in Human-Robot Collaboration Scenario : Virtual Reality Use Case
Dianatfar, Morteza; Heshmatisafa, Saeid; Latokartano, Jyrki; Lanz, Minna (2023)
Dianatfar, Morteza
Heshmatisafa, Saeid
Latokartano, Jyrki
Lanz, Minna
Teoksen toimittaja(t)
Kim, Kyoung-Yun
Monplaisir, Leslie
Rickli, Jeremy
Springer
2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202211308772
https://urn.fi/URN:NBN:fi:tuni-202211308772
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [19288]