A Cutting-Edge IoT-Based Framework to Boost Collaboration within Peer-to-Peer Networked Multi-Robot Healthcare Systems

Abstract

This study introduces an innovative Internet of Mobile Robots (IoMR) framework specifically designed for healthcare applications, focusing on improved collaboration and efficiency among a network of Connected Mobile Robots (CMRs). The CMRs play a pivotal role in critical tasks, such as patient monitoring, medication delivery, and environmental condition assessment, driving significant improvements in care delivery in healthcare settings. Equipped with cutting-edge embedded systems and intelligent functionalities, each CMR interacts dynamically with its surroundings and with a centralized IoT platform. This architecture facilitates real-time data sharing and collaborative decision-making among robots, fostering an ecosystem of responsive healthcare delivery. The design incorporates essential layers: a robust physical connectivity layer, a service layer dedicated to efficient data processing, and a comprehensive management dashboard that empowers operators with actionable insights. The framework employs advanced communication protocols, such as MQTT, to ensure reliable communication between various devices and mitigate interoperability, security, and scalability challenges. An IoMR prototype encompasses multiple mobile robots coordinated by a central processing unit, focusing on automation and efficiency in critical healthcare tasks. This implementation demonstrates not only resource-efficient processing but also minimal latency in task execution. The proposed approach optimizes operational efficiency in healthcare environments. By combining autonomous robotics and IoT technology, the proposed IoMR framework represents a significant advancement in healthcare delivery systems, ultimately improving patient outcomes and redefining the future of health services.