Cutting-Edge IoT-Based Framework to Boost Collaboration within Peer-to-Peer Networked Multi-Robot System

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Cutting-Edge IoT-Based Framework to Boost Collaboration within Peer-to-Peer Networked Multi-Robot System | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Cutting-Edge IoT-Based Framework to Boost Collaboration within Peer-to-Peer Networked Multi-Robot System hayet tlijani, hani Nasri, Khaled Nouri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6270367/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper introduces an innovative Internet of Mobile Robots (IoMR) framework specifically designed for healthcare applications, emphasizing enhanced 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 within 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 framework’s 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. To ensure reliable communication across various devices and mitigate interoperability, security, and scalability challenges, the framework employs advanced communication protocols such as MQTT. The 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. This pioneering approach optimizes operational efficiency in healthcare environments. By combining autonomous robotics and IoT technology, the IoMR framework represents a significant advancement in healthcare delivery systems, ultimately improving patient outcomes and redefining the future of health services. Internet of Mobile Robots (IoMR) Connected Mobile Robots (CMRs) Healthcare Applications Autonomous Data Collection real-time processing Operational Efficiency Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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