AI in Emotional Robotics: Building Companion Systems for Elderly Care
Authors:-Siddesh Gowda
Abstract-:AI in Emotional Robotics has emerged as a revolutionary field in elderly care, where the integration of advanced machine learning algorithms and robotics aims to provide emotional and physical support to aging individuals. The elderly population is growing globally, and with it comes the challenge of providing quality care that meets both their physical and emotional needs. Emotional robotics focuses on creating companion robots that can simulate emotions, interact meaningfully with humans, and provide psychological support. These systems are designed to recognize and respond to the emotional states of the elderly, fostering a sense of connection and reducing loneliness, which is a common issue in older adults. This paper explores the development, challenges, and potential applications of AI-driven emotional robotics in elderly care. It examines various approaches to designing these systems, from affective computing to machine learning models that enable robots to understand and adapt to human emotions. It also highlights the ethical considerations, social impact, and future directions for this technology, aiming to enhance the quality of life for elderly individuals while addressing the growing demand for care services. The paper concludes with an analysis of the key challenges faced in the development of companion robots, including the need for more natural and empathetic interactions, the importance of cultural sensitivity, and the integration of safety protocols for elderly users.
