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Design and Performance Evaluation of a Modular Mobile Robot for Autonomous Hospital Logistics

  • Neri Niccolò Dei*
  • , Simona Gandah
  • , Giorgia Spreafico
  • , Ándrea Firrincieli
  • , Raquel Juliá Ros
  • , Víctor Solaz Estevan
  • , Angel Soriano
  • , Francesco Scotto Di Luzio
  • , Nevio Luigi Tagliamonte
  • , Lampis Papakostas
  • , Michalis Karamousadakis
  • , Alejandro Medrano-Gil
  • , Javier Del Río-Martín
  • , Vasileios Lolis
  • , Konstantinos Votis
  • , Pilar Sala Soriano
  • , Jordi Rovira Simón
  • , Przemysław Kardas
  • , Paweł Lewek
  • , Dariusz Timler
  • Laura Llorente Sanz, Jorge Nieto De Vicente-Arche, Saskia Haitjema, Imo Hoefer, Sergio Guillen, German Gutierrez, Leandro Pecchia, Loredana Zollo, Giuseppe Fico, Marcello Chiurazzi, Gastone Ciuti
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Hospital logistics can significantly benefit from autonomous robotic technologies capable of alleviating personnel workload, reducing operational costs, and streamlining internal workflows. This paper introduces HOSBOT (HOSpital roBOT), a modular and cost-effective robotic system designed to enhance hospital logistics and workflow management through autonomous missions and real-time monitoring of transported items. HOSBOT combines a commercially available autonomous mobile robot with a customisable non-motorised cart, the SmartRack, which accommodates standalone, sensorised SmartBoxes equipped with Radio Frequency IDentification technology. This paper describes the overall design of HOSBOT, including its mechanical, electrical, and software interfaces. The system has been validated in three pilot experiments in real hospital environments across Europe, demonstrating good levels of acceptability, usability and efficacy. This innovative robotic solution highlights the potential for scalable integration of autonomous mobile robots in healthcare and other indoor logistics settings.

Original languageEnglish
Pages (from-to)7748-7763
Number of pages16
JournalIEEE Transactions on Automation Science and Engineering
Volume23
DOIs
Publication statusPublished - 23 Mar 2026

Keywords

  • RFID
  • collaborative robots
  • digital health
  • hospital logistics
  • mobile robots

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