Development of an Enhanced Risk Assessment Model for Human-Robot Collaboration and its Application.

ABSTRACT:

Background

Collaborative robots have emerged as a solution for complex and precision-driven tasks. However, there is no comprehensive risk assessment model for collaborative robotic work in the Republic of Korea. Thus, we aim to develop a risk assessment model tailored to the unique characteristics of human-robot collaboration.

Methods

In this study, we examine the risk assessment factors in three key fields: worker, robotic systems, and work environment. The items adopted in the existing models of HFACS, USUS, and human-robot trust were initially selected to extract items for the risk assessment model. The analytic hierarchy process methodology was applied to refine and prioritize the evaluation items. Score scales were constructed for the six checklists. A five-level score

SUBMITTER: Lee K 

PROVIDER: S-EPMC11959558 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature