Risk Assessment Approach Using STAMP/STPA in the Social Implementation of Autonomous Mobile Robots
Abstract
This study investigates the safety evaluation of service robots in public spaces, addressing both traditional physical risks and broader concerns such as algorithmic bias and unfair user treatment. Conventional safety assessment methods primarily focus on mitigating physical risks. However, service robots, which interact with diverse users, may inadvertently exhibit biased behaviors that are difficult to detect using traditional approaches. To analyze these issues, we employ a virtual case study of a library guide robot, assessing collision risks and fairness concerns using STAMP/STPA, a risk assessment method suitable for interactive systems. The results indicate that this approach successfully identifies risk factors contributing to biased behavior.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Safety Systems Engineering in Autonomy
Risk and Safety Analysis
Publication details
- Journal / source
- Transactions of the Society of Instrument and Control Engineers
- Volume
- 62
- Issue
- 1
- Pages
- 31–40
- Publication date
- 1 January 2026
- Language
- EN