Verification Toolchain of Industrial Robot Inspection Cell for Quality Control of Automotive Body-in-white

Ensuring operational safety in industrial robotics systems, particularly human-robot interaction, poses significant challenges. This paper presents a comprehensive Verification and Validation (V&V) toolchain specifically designed for quality control of automotive body-in-white in industrial robot inspection cells. The proposed toolchain incorporates simulation-based testing and fault injection to address safety. The VALU3S frameworks and V&V methods encompass simulation-based robot verification and fault injection-based testing. Furthermore, three software tools, SRVT, CamFITool, and IM-FIT, are introduced. These tools provide essential functionalities for robot verification, camera fault injection, and fault injection. By leveraging this integrated toolchain, safety evaluation in automated robot inspection cells has been accomplished, demonstrating its effectiveness in ensuring the quality control of automotive body-in-white.

I. Introduction

Industrial robotics systems play a vital role in automated assembly processes, offering high precision and efficiency. However, ensuring operational safety remains a significant challenge, especially in Human-Robot Interaction (HRI) scenarios. Current failure detection and diagnosis (FDD) methods often overlook HRI-related faults, necessitating the development of dedicated data-driven approaches to address these issues effectively [1, 2].