Personalizing Care Through Robotic Assistance and Clinical Supervision

Abstract

By 2030, the World Health Organization (WHO) foresees a worldwide workforce shortfall of healthcare professionals, with dramatic consequences for patients, economies, and communities. Research in assistive robotics has experienced an increasing attention during the last decade demonstrating its utility in the realization of intelligent robotic solutions for healthcare and social assistance, also to compensate for such workforce shortages. Nevertheless, a challenge for effective assistive robots is dealing with a high variety of situations and contextualizing their interactions according to living contexts and habits (or preferences) of assisted people. This study presents a novel cognitive system for assistive robots that rely on artificial intelligence (AI) representation and reasoning features/services to support decision-making processes of healthcare assistants. We proposed an original integration of AI-based features, that is, knowledge representation and reasoning and automated planning to 1) define a human-in-the-loop continuous assistance procedure that helps clinicians in evaluating and managing patients and; 2) to dynamically adapt robot behaviors to the specific needs and interaction abilities of patients. The system is deployed in a realistic assistive scenario to demonstrate its feasibility to support a clinician taking care of several patients with different conditions and needs.

Development of Robotic Assistant for Health Care Sector with A Special Focus to Aid the Geriatric Patients

“…In order to improve healthcare decision-making, this study presents a cognitive system for assistive robots that uses artificial intelligence (AI). The technology dynamically modifies robot actions to match the demands of individual patients, proving its viability in an actual setting [8].…”

Análisis mediante inteligencia artificial de las emociones del alumnado autista en la interacción social con el robot NAO

“…La robótica de asistencia social tiene como finalidad garantizar a los usuarios humanos la interacción social en diversos escenarios de asistencia, como, por ejemplo, una escuela, un supermercado o cualquier situación de la vida diaria (De Benedictis et al, 2023). De esta forma, se permite la adaptación a las diversas necesidades que presentan los usuarios (Sorrentino et al, 2022). Por lo tanto, se puede afirmar que en la robótica de asistencia social el robot se encarga de dos aspectos fundamentales: en primer lugar, ayudar a los alumnos con discapacidad a realizar las tareas y, en segundo lugar, a interactuar con ellos, proporcionándoles claves emocionales, cognitivas y sociales adecuadas, que dé lugar a un desarrollo del aprendizaje (Feil-Seifer y Mataric, 2005).…”

Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems

“…In this picture, according to the global action plan of response to dementia, the development of assistive technologies like social assistive robots could be a strategic asset in managing the diagnosis, treatment, care, and support of people with dementia [7,8]. In 2022, Sorrentino et al [9] highlighted how robotic technology can be integrated into individual care, enhancing the effectiveness and efficiency of healthcare services [9]. Pepper, a humanoid social robot developed by the Japanese Aldebaran (United Robotics Group) [10] company, is one of the most popular social robots available on the market.…”