A Method for Automated Risk Assessment considering User's Perception in Virtual Space

Abstract

In the development of human-robot collaborative systems, comprehensive risk assessment by designers and users is demanded. We previously proposed a risk assessment method that automatically identifies design information related to objective assessment by designers, using a dependency model of design information and a digital twin. In this study, the previous method is improved to take users' perception into account, using virtual reality. By developing a feasibility prototype of a collaborative conveyance system in a warehouse, the spatial design information related to worker's visual perception of a robot suddenly appearing from behind an obstacle was identified.