Enhancing Robotics for Effective Support in Active Assisted Living Environments

Active Assisted Living (AAL) leverages advancements in Artificial Intelligence (AI) and Social Robotics to deliver personalized and efficient support to individuals requiring care. In this paper, we explore the integration of these technologies within AAL frameworks to optimize assistance delivery. We adopt COCO (COmbined deduction and abduCtiOn logic reasoner), a cognitive architecture that synthesizes automated planning and rule-based systems, to effectively apply robot technologies in AAL environments. Our study emphasizes the importance of understanding and addressing the diverse activities of daily living (ADL) and instrumental activities of daily living (IADL) of individuals with care needs. By leveraging COCO, we demonstrate how AI-driven assistive robotics can enhance caregiving practices, assisting users while alleviating burdens on families and public health systems. Through simulated scenarios we begin testing COCO’s logical aspects, paving the way for future integration with physical robots in real-world AAL environments. Our findings highlight the potential of AI and Social Robotics to support care delivery, promote independence and improve the overall quality of life for individuals in need of assistance.