Optimizing the Operational Process of a Social Robot for Elderly Assistance: Enhancing Reliability and Readiness

Social robots designed to assist the elderly must function reliably in changing environments where usage conditions vary. Ensuring both reliability and readiness is crucial for effective daily interactions. This paper focuses on optimizing the operational processes of a social robot for elderly care. It presents a model that improves task planning and maintains consistent robot readiness. The study introduces an operational model that considers reliability, safety, and usability states. It applies Markov processes to predict transitions between usability states and assess readiness. It also proposes optimization methods to improve the robot’s readiness index. By addressing these aspects, the study enhances the efficiency and dependability of social robots, ultimately improving the quality of life for elderly and disabled users.