Risk Identification of Robotic Systems through the Application of System-Theoretic Process Analysis

Abstract

Autonomous multi-mobile robots are becoming increasingly prevalent in various applications, ranging from industrial automation to healthcare and logistics. While these robots offer enhanced efficiency and productivity, their operation introduces many safety challenges. In this paper, the application of System-Theoretic Process Analysis (STPA) is proposed as a systematic approach to identify and mitigate risks associated with the main features of autonomous multi-mobile robots. This approach is illustrated using a case study concerning a transportation task of hazardous products within a robotic analysis laboratory. Through a structured analysis process, STPA enables the identification of unsafe control actions, the establishment of safety constraints also the generation of safety requirements. The ultimate goal is to improve the autonomous attribute of mobile robots, so on ensuring their operational safety in high-risk environments.