BART LAB AI Elderly Support Robot for Enhanced Biomechanical Assistance in Sit-to-Stand and Walking Activities

Abstract

The increasing elderly population underscores the pressing need for technological solutions that enhance Quality of Life (QoL) by facilitating independent living. Mobility, encompassing essential movements such as sit-to-stand, stand-to-sit, and walking, becomes increasingly challenging with age, making it a critical aspect of independence in the elderly. This research aims to develop a BART LAB AI-Elderly Supporting Robot, designed to assist elderly individuals in sit-to-stand and walking activities, thereby improving their mobility and independence. The design and control mechanisms of the robot are based on detailed biomechanical modeling and optimized to align with the natural movement patterns of elderly individuals. The iterative design process involved biomechanical analysis, system optimization, and the subsequent development and validation of the robot. The optimization process utilized biomechanical data to tailor the kinematic and kinetic features of the robot, ensuring that the support provided is both effective and intuitive for the user. The validation results demonstrated that the robot significantly improved the mobility of elderly users while respecting their physiological limits, thereby enhancing their ability to live independently and safely. This development has substantial implications for elderly care by offering a robotic assistant that improves mobility and promotes safer and more independent living for the elderly.