Navigation benchmarking for autonomous mobile robots in hospital environment.
Benchmarking method
Hospital environment
Medical mobile robots
Robot navigation
SLAM
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
07 Aug 2024
07 Aug 2024
Historique:
received:
08
12
2023
accepted:
30
07
2024
medline:
8
8
2024
pubmed:
8
8
2024
entrez:
7
8
2024
Statut:
epublish
Résumé
The widespread adoption of robotic technologies in healthcare has opened up new perspectives for enhancing accuracy, effectiveness and quality of medical procedures and patients' care. Special attention has been given to the reliability of robots when operating in environments shared with humans and to the users' safety, especially in case of mobile platforms able to navigate autonomously. From the analysis of the literature, it emerges that navigation tests carried out in a hospital environment are preliminary and not standardized. This paper aims to overcome the limitations in the assessment of autonomous mobile robots navigating in hospital environments by proposing: (i) a structured benchmarking protocol composed of a set of standardized tests, taking into account conditions with increasing complexity, (ii) a set of quantitative performance metrics. The proposed approach has been used in a realistic setting to assess the performance of two robotic platforms, namely HOSBOT and TIAGo, with different technical features and developed for different applications in a clinical scenario.
Identifiants
pubmed: 39112664
doi: 10.1038/s41598-024-69040-z
pii: 10.1038/s41598-024-69040-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
18334Subventions
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : C85F2100067000
Organisme : Ministero dell 'Istruzione, dell 'Universit à e della Ricerca (Ministry of Education, University and Research)
ID : C53C22000800006
Informations de copyright
© 2024. The Author(s).
Références
Van der Loos, H. M., Reinkensmeyer, D. J. & Guglielmelli, E. Rehabilitation and Health Care Robotics. In Springer Handbook of Robotics (eds Siciliano, B. & Khatib, O.) 1685–1728 (Springer, Cham, 2016).
doi: 10.1007/978-3-319-32552-1_64
Gao, A. et al. Progress in robotics for combating infectious diseases. Sci. Robot. 6, eabf1462 (2021).
doi: 10.1126/scirobotics.abf1462
pubmed: 34043552
Holland, J. et al. Service robots in the healthcare sector. Robotics 10, 47 (2021).
doi: 10.3390/robotics10010047
ISO. “Robotics—Vocabulary”. https://www.iso.org/standard/75539.html (2021). Accessed 13 July 2023.
Kyrarini, M. et al. A survey of robots in healthcare. Technologies 9, 8 (2021).
doi: 10.3390/technologies9010008
Morgan, A. A. et al. Robots in healthcare: A scoping review. Curr. Robot. Rep. 3, 271–280 (2022).
doi: 10.1007/s43154-022-00095-4
pubmed: 36311256
pmcid: 9589563
Tamantini, C. et al. Integrating physical and cognitive interaction capabilities in a robot-aided rehabilitation platform. In IEEE Systems Journal 17(4), 6516–6527. https://doi.org/10.1109/JSYST.2023.3317504 (2023).
González-González, C. S., Violant-Holz, V. & Gil-Iranzo, R. M. Social robots in hospitals: A systematic review. Appl. Sci. 11, 5976 (2021).
doi: 10.3390/app11135976
Sheridan, T. B. Human-robot interaction: Status and challenges. Hum. Factors 58, 525–532 (2016).
doi: 10.1177/0018720816644364
pubmed: 27098262
Hopko, S., Wang, J. & Mehta, R. Human factors considerations and metrics in shared space human-robot collaboration: A systematic review. Front. Robot. AI 9, 799522 (2022).
doi: 10.3389/frobt.2022.799522
pubmed: 35187093
pmcid: 8850717
ISO. Robots and robotic devices - safety requirements for personal care robots. https://www.iso.org/standard/53820.html (2021). Accessed 13 July 2023.
Khan, N. A. et al. Hospital effluent guidelines and legislation scenario around the globe: A critical review. J. Environ. Chem. Eng. 9, 105874 (2021).
doi: 10.1016/j.jece.2021.105874
Zingg, W. et al. Hospital organisation, management, and structure for prevention of health-care-associated infection: A systematic review and expert consensus. Lancet Infect. Dis. 15, 212–224 (2015).
doi: 10.1016/S1473-3099(14)70854-0
pubmed: 25467650
Guidelines and standards for healthcare buildings. European Health Property Network (2011).
Riek, L. D. Healthcare robotics. Commun. ACM 60, 68–78 (2017).
doi: 10.1145/3127874
Stiller, A., Salm, F., Bischoff, P. & Gastmeier, P. Relationship between hospital ward design and healthcare-associated infection rates: A systematic review and meta-analysis. Antimicrob. Resist. Infect. Control 5, 1–10 (2016).
doi: 10.1186/s13756-016-0152-1
L.R. 5 maggio 1990, n. 36, art. 14 Requisiti delle camere di degenza e condizioni micro climatiche. https://www.gazzettaufficiale.it/atto/regioni/caricaArticolo?art.progressivo=0 &art.idArticolo=14 &art.versione=1 &art.codiceRedazionale=090R0497 &art.dataPubblicazioneGazzetta=1990-10-13 &art.idGruppo=0 &art.idSottoArticolo=1 (1990). Accessed 22 June 2023.
Möller, R., Furnari, A., Battiato, S., Härmä, A. & Farinella, G. M. A survey on human-aware robot navigation. Robot. Auton. Syst. 145, 103837 (2021).
doi: 10.1016/j.robot.2021.103837
Mavrogiannis, C. et al. Core challenges of social robot navigation: A survey. ACM Transa. Hum. Robot Interact. 12, 1–39 (2023).
doi: 10.1145/3583741
Pandey, A., Pandey, S. & Parhi, D. Mobile robot navigation and obstacle avoidance techniques: A review. Int. Rob. Auto. J. 2, 00022 (2017).
Véras, L. G. D., Medeiros, F. L. & Guimaráes, L. N. Systematic literature review of sampling process in rapidly-exploring random trees. IEEE Access 7, 50933–50953 (2019).
doi: 10.1109/ACCESS.2019.2908100
Ravankar, A., Ravankar, A. A., Kobayashi, Y., Hoshino, Y. & Peng, C.-C. Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges. Sensors 18, 3170 (2018).
doi: 10.3390/s18093170
pubmed: 30235894
pmcid: 6165411
Temeltas, H. & Kayak, D. Slam for robot navigation. IEEE Aerosp. Electron. Syst. Mag. 23, 16–19 (2008).
doi: 10.1109/MAES.2008.4694832
Charalampous, K., Kostavelis, I. & Gasteratos, A. Recent trends in social aware robot navigation: A survey. Robot. Auton. Syst. 93, 85–104 (2017).
doi: 10.1016/j.robot.2017.03.002
Zhu, K. & Zhang, T. Deep reinforcement learning based mobile robot navigation: A review. Tsinghua Sci. Technol. 26, 674–691 (2021).
doi: 10.26599/TST.2021.9010012
Ceballos, N. D. M., Valencia, J. A. & Ospina, N. L. Performance metrics for robot navigation. In Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), 518–523 (IEEE, 2007).
Mavrogiannis, C., Hutchinson, A. M., Macdonald, J., Alves-Oliveira, P. & Knepper, R. A. Effects of distinct robot navigation strategies on human behavior in a crowded environment. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 421–430 (IEEE, 2019).
Gao, Y. & Huang, C.-M. Evaluation of socially-aware robot navigation. Front. Robot. AI 8, 721317 (2022).
doi: 10.3389/frobt.2021.721317
pubmed: 35096978
pmcid: 8791647
Tiseni, L. et al. Uv-c mobile robots with optimized path planning: Algorithm design and on-field measurements to improve surface disinfection against SARS-COV-2. IEEE Robot. Automat. Mag. 28, 59–70 (2021).
doi: 10.1109/MRA.2020.3045069
Tamantini, C. et al. A robotic health-care assistant for covid-19 emergency: A proposed solution for logistics and disinfection in a hospital environment. IEEE Robot. Automat. Mag. 28, 71–81 (2021).
doi: 10.1109/MRA.2020.3044953
Fang, B. et al. Visual slam for robot navigation in healthcare facility. Pattern Recognit. 113, 107822 (2021).
doi: 10.1016/j.patcog.2021.107822
pubmed: 33495660
pmcid: 7816967
Alves, F. et al. Walkability index for elderly health: A proposal. Sustainability 12, 7360 (2020).
doi: 10.3390/su12187360
UNI. Mobili - Arredo ospedaliero e per studi medici - Requisiti e metodi di prova. https://store.uni.com/en/p/UNI1606165_EIT/uni-11780-2020 (2020). Accessed 23 Sept 2023.
Gul, F., Rahiman, W. & Nazli Alhady, S. S. A comprehensive study for robot navigation techniques. Cogent Eng. 6, 1632046 (2019).
doi: 10.1080/23311916.2019.1632046
Zhou, L., Zhu, C. & Su, X. Slam algorithm and navigation for indoor mobile robot based on ros. In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI), 230–236 (IEEE, 2022).