Smart Care: An IoT Platform with Humanoid Robots for Diabetes Management in Children

This paper presents an Internet of Things (IoT) platform that integrates humanoid robots to enhance Type 1 Diabetes Management (T1DM) in children. By leveraging advancements in IoT, robotic coaching, and artificial intelligence (AI), the platform improves remote diabetes care delivery. The robot wirelessly collects biometric measurements from various patient devices, along with data on diet, physical activity, insulin intake, and overall well-being through interactive dialogues. This information is transmitted to a remote smart disease management hub for analysis, where AI algorithms generate personalized feedback, which is then relayed back to patients through the robotic interface at home. A fully functional platform has been successfully tested in a pilot clinical study, demonstrating a patient satisfaction rate exceeding 86%, with 91% of participants expressing a positive perception of the robot as a new medical device in T1DM. These findings underscore the transformative potential of robotic technology in diabetes care as it evolves and becomes more accessible.