{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:01:43Z","timestamp":1774029703941,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Component 5-Capitalization and Business Innovation"},{"name":"Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The flexibility and versatility associated with autonomous mobile robots (AMR) have facilitated their integration into different types of industries and tasks. However, as the main objective of their implementation on the factory floor is to optimize processes and, consequently, the time associated with them, it is necessary to take into account the environment and congestion to which they are subjected. Localization, on the shop floor and in real time, is an important requirement to optimize the AMRs\u2019 trajectory management, thus avoiding livelocks and deadlocks during their movements in partnership with manual forklift operators and logistic trains. Threeof the most commonly used localization techniques in indoor environments (time of flight, angle of arrival, and time difference of arrival), as well as two of the most commonly used indoor localization methods in the industry (ultra-wideband, and ultrasound), are presented and compared in this paper. Furthermore, it identifies and compares three industrial indoor localization solutions: Qorvo, Eliko Kio, and Marvelmind, implemented in an industrial mobile platform, which is the main contribution of this paper. These solutions can be applied to both AMRs and other mobile platforms, such as forklifts and logistic trains. In terms of results, the Marvelmind system, which uses an ultrasound method, was the best solution.<\/jats:p>","DOI":"10.3390\/s24072095","type":"journal-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T12:32:36Z","timestamp":1711369956000},"page":"2095","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4133-3210","authenticated-orcid":false,"given":"Paulo M.","family":"Rebelo","sequence":"first","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"},{"name":"School of Sciences and Technology-Engineering Department (UTAD), 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-1207","authenticated-orcid":false,"given":"Jos\u00e9","family":"Lima","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"},{"name":"CeDRI, SusTEC, Instituto Polit\u00e9cnico de Bragan\u00e7a, Campus Sta Apol\u00f3nia, 5300-253 Bragan\u00e7a, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5862-5706","authenticated-orcid":false,"given":"Salviano Pinto","family":"Soares","sequence":"additional","affiliation":[{"name":"School of Sciences and Technology-Engineering Department (UTAD), 5000-801 Vila Real, Portugal"},{"name":"Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal"},{"name":"Intelligent Systems Associate Laboratory (LASI), University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4283-1243","authenticated-orcid":false,"given":"Paulo","family":"Moura Oliveira","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"},{"name":"School of Sciences and Technology-Engineering Department (UTAD), 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8055-1093","authenticated-orcid":false,"given":"H\u00e9ber","family":"Sobreira","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0435-8419","authenticated-orcid":false,"given":"Pedro","family":"Costa","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"},{"name":"Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"220007","DOI":"10.1063\/1.5114225","article-title":"A temporal optimization applied to time enhanced A","volume":"Volume 2116","author":"Moura","year":"2019","journal-title":"AIP Conference Proceedings"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Santos, J., Costa, P., Rocha, L.F., Moreira, A.P., and Veiga, G. (2015, January 17\u201319). Time enhanced A*: Towards the development of a new approach for Multi-Robot Coordination. Proceedings of the 2015 IEEE International Conference on Industrial Technology (ICIT), Seville, Spain.","DOI":"10.1109\/ICIT.2015.7125589"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.mechatronics.2017.04.005","article-title":"Cooperative cloud robotics architecture for the coordination of multi-AGV systems in industrial warehouses","volume":"45","author":"Cardarelli","year":"2017","journal-title":"Mechatronics"},{"key":"ref_4","unstructured":"Butdee, S., and Suebsomran, A. (2007, January 20\u201330). Localization based on matching location of AGV. Proceedings of the 24th International Manufacturing Conference, IMC24. Waterford Institute of Technology, Waterford, Ireland."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s10846-021-01327-z","article-title":"A survey of machine learning techniques for indoor localization and navigation systems","volume":"101","author":"Roy","year":"2021","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2568","DOI":"10.1109\/COMST.2019.2911558","article-title":"A survey of indoor localization systems and technologies","volume":"21","author":"Zafari","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Bradley, C., El-Tawab, S., and Heydari, M.H. (2018, January 27). Security analysis of an IoT system used for indoor localization in healthcare facilities. Proceedings of the 2018 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA.","DOI":"10.1109\/SIEDS.2018.8374726"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4660","DOI":"10.1109\/TITS.2021.3053942","article-title":"AI-enabled fingerprinting and crowdsource-based vehicle localization for resilient and safe transportation systems","volume":"22","author":"Shit","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s11277-021-08209-5","article-title":"A review of indoor localization techniques and wireless technologies","volume":"119","author":"Obeidat","year":"2021","journal-title":"Wirel. Pers. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1588","DOI":"10.1016\/j.procir.2022.05.195","article-title":"Indoor positioning systems to prevent the COVID19 transmission in manufacturing environments","volume":"107","author":"Pilati","year":"2022","journal-title":"Procedia Cirp"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5500504","DOI":"10.1109\/LSENS.2017.2749000","article-title":"Development of a Novel Indoor Positioning System With mm-Range Precision Based on RF Sensors Network","volume":"1","author":"Xiong","year":"2017","journal-title":"IEEE Sens. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Li, N., and Becerik-Gerber, B. (2012, January 4\u20136). An infrastructure-free indoor localization framework to support building emergency response operations. Proceedings of the 19th EG-ICE International Workshop on Intelligent Computing in Engineering, Munich, Germany.","DOI":"10.1061\/9780784413029.069"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Wang, S., and Zhao, L. (2009, January 24\u201326). Optimization of Goods Location Numbering and Storage and Retrieval Sequence in Automated Warehouse. Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, Sanya, China.","DOI":"10.1109\/CSO.2009.337"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Lipka, M., Sippel, E., Hehn, M., Adametz, J., Vossiek, M., Dobrev, Y., and Gulden, P. (2018, January 6\u20139). Wireless 3D Localization Concept for Industrial Automation Based on a Bearings Only Extended Kalman Filter. Proceedings of the 2018 Asia-Pacific Microwave Conference (APMC), Kyoto, Japan.","DOI":"10.23919\/APMC.2018.8617483"},{"key":"ref_15","unstructured":"Hesslein, N., Wesselh\u00f6ft, M., Hinckeldeyn, J., and Kreutzfeldt, J. (2021). Advances in Automotive Production Technology\u2013Theory and Application: Stuttgart Conference on Automotive Production (SCAP2020), Springer."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Xu, L., Shen, X., Han, T.X., Du, R., and Shen, Y. (2022, January 16\u201320). An Efficient Relative Localization Method via Geometry-based Coordinate System Selection. Proceedings of the ICC 2022-IEEE International Conference on Communications, Seoul, Republic of Korea.","DOI":"10.1109\/ICC45855.2022.9839105"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Luo, Q., Yang, K., Yan, X., Li, J., Wang, C., and Zhou, Z. (2022). An Improved Trilateration Positioning Algorithm with Anchor Node Combination and K-Means Clustering. Sensors, 22.","DOI":"10.3390\/s22166085"},{"key":"ref_18","unstructured":"Thrun, S., Burgard, W., and Fox, D. (2005). Probabilistic Robotics (Intelligent Robotics and Autonomous Agents), The MIT Press."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kim, S.H., Roh, C.W., Kang, S.C., and Park, M.Y. (2007, January 10\u201314). Outdoor navigation of a mobile robot using differential GPS and curb detection. Proceedings of the 2007 IEEE International Conference on Robotics and Automation, Rome, Italy.","DOI":"10.1109\/ROBOT.2007.364000"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Gonzalez, J., Blanco, J., Galindo, C., Ortiz-de Galisteo, A., Fern\u00e1ndez-Madrigal, J., Moreno, F., and Martinez, J. (2007, January 3\u20135). Combination of UWB and GPS for indoor-outdoor vehicle localization. Proceedings of the 2007 IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, Spain.","DOI":"10.1109\/WISP.2007.4447550"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Hahnel, D., Burgard, W., Fox, D., Fishkin, K., and Philipose, M. (May, January 26). Mapping and localization with RFID technology. Proceedings of the IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA\u201904, New Orleans, LA, USA.","DOI":"10.1109\/ROBOT.2004.1307283"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2226","DOI":"10.1109\/TIE.2011.2109330","article-title":"A hierarchical algorithm for indoor mobile robot localization using RFID sensor fusion","volume":"58","author":"Choi","year":"2011","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"189","DOI":"10.4218\/etrij.07.0106.0066","article-title":"Mobile robot exploration in indoor environment using topological structure with invisible barcodes","volume":"29","author":"Huh","year":"2007","journal-title":"ETRI J."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.4304\/jcp.6.6.1191-1197","article-title":"A Robot Indoor Position and Orientation Method based on 2D Barcode Landmark","volume":"6","author":"Lin","year":"2011","journal-title":"J. Comput."},{"key":"ref_25","unstructured":"Kobayashi, H. (2012, January 20\u201323). A new proposal for self-localization of mobile robot by self-contained 2d barcode landmark. Proceedings of the 2012 Proceedings of SICE annual conference (SICE), Akita, Japan."},{"key":"ref_26","unstructured":"Atanasyan, A., and Ro\u00dfmann, J. (2019). Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter, Springer."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Kendall, A., Grimes, M., and Cipolla, R. (2015, January 7\u201313). Posenet: A convolutional network for real-time 6-dof camera relocalization. Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile.","DOI":"10.1109\/ICCV.2015.336"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Sadeghi Esfahlani, S., Sanaei, A., Ghorabian, M., and Shirvani, H. (2022). The Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO). Remote Sens., 14.","DOI":"10.3390\/rs14143324"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A. (2015, January 7\u201312). Going deeper with convolutions. Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Lima, J., Rocha, C., Rocha, L., and Costa, P. (2022). Data Matrix Based Low Cost Autonomous Detection of Medicine Packages. Appl. Sci., 12.","DOI":"10.3390\/app12199866"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Sharma, P., Saucan, A.A., Bucci, D.J., and Varshney, P.K. (2018, January 28\u201331). On Self-Localization and Tracking with an Unknown Number of Targets. Proceedings of the 2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.","DOI":"10.1109\/ACSSC.2018.8645547"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ahmad, U., Poon, K., Altayyari, A.M., and Almazrouei, M.R. (2019, January 19\u201321). A Low-cost Localization System for Warehouse Inventory Management. Proceedings of the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Ras Al Khaimah, United Arab Emirates.","DOI":"10.1109\/ICECTA48151.2019.8959774"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"107541","DOI":"10.1016\/j.ijpe.2019.107541","article-title":"Introduction of a real time location system to enhance the warehouse safety and operational efficiency","volume":"224","author":"Halawa","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.jmsy.2022.04.007","article-title":"Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0","volume":"63","author":"Coronado","year":"2022","journal-title":"J. Manuf. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Martinho, R., Lopes, J., Jorge, D., de Oliveira, L.C., Henriques, C., and Pe\u00e7as, P. (2022). IoT Based Automatic Diagnosis for Continuous Improvement. Sustainability, 14.","DOI":"10.3390\/su14159687"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Le, D.V., and Havinga, P.J. (2017, January 18\u201321). SoLoc: Self-organizing indoor localization for unstructured and dynamic environments. Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sapporo, Japan.","DOI":"10.1109\/IPIN.2017.8115900"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Fl\u00f6gel, D., Bhatt, N.P., and Hashemi, E. (2022). Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots. Robotics, 11.","DOI":"10.3390\/robotics11040082"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"76847","DOI":"10.1109\/ACCESS.2021.3082778","article-title":"State of the Art in Vision-Based Localization Techniques for Autonomous Navigation Systems","volume":"9","author":"Alkendi","year":"2021","journal-title":"IEEE Access"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Dias, F., Schafer, H., Natal, L., and Cardeira, C. (2015, January 8\u201310). Mobile Robot Localisation for Indoor Environments Based on Ceiling Pattern Recognition. Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, Vila Real, Portugal.","DOI":"10.1109\/ICARSC.2015.32"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"50","DOI":"10.9781\/ijimai.2019.04.001","article-title":"Humanoid Localization on Robocup Field using Corner Intersection and Geometric Distance Estimation","volume":"5","author":"Sudin","year":"2019","journal-title":"IJIMAI"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s10846-020-01307-9","article-title":"Fiducial markers for pose estimation","volume":"101","author":"Kalaitzakis","year":"2021","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Grilo, A., Costa, R., Figueiras, P., and Gon\u00e7alves, R.J. (2021, January 21\u201323). Analysis of AGV indoor tracking supported by IMU sensors in intra-logistics process in automotive industry. Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC), Cardiff, UK.","DOI":"10.1109\/ICE\/ITMC52061.2021.9570117"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Malyavej, V., Kumkeaw, W., and Aorpimai, M. (2013, January 15\u201317). Indoor robot localization by RSSI\/IMU sensor fusion. Proceedings of the 2013 10th International Conference on Electrical Engineering\/Electronics, Computer, Telecommunications and Information Technology, Krabi, Thailand.","DOI":"10.1109\/ECTICon.2013.6559517"},{"key":"ref_44","unstructured":"Xia, Z., and Chen, C. (2006, January 21\u201323). A Localization Scheme with Mobile Beacon for Wireless Sensor Networks. Proceedings of the 2006 6th International Conference on ITS Telecommunications, Chengdu, China."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Zhao, C., and Wang, B. (2019, January 27\u201330). A UWB\/Bluetooth Fusion Algorithm for Indoor Localization. Proceedings of the 2019 Chinese Control Conference (CCC), Guangzhou, China.","DOI":"10.23919\/ChiCC.2019.8865457"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"\u00c1lvarez Merino, C.S., Luo-Chen, H.Q., Khatib, E.J., and Barco, R. (2021). WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning. Sensors, 21.","DOI":"10.3390\/s21217020"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"112926","DOI":"10.1016\/j.measurement.2023.112926","article-title":"A multi-sensor fusion positioning approach for indoor mobile robot using factor graph","volume":"216","author":"Zhang","year":"2023","journal-title":"Measurement"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Dargie, W., and Poellabauer, C. (2010). Fundamentals of Wireless Sensor Networks: Theory and Practice, John Wiley & Sons.","DOI":"10.1002\/9780470666388"},{"key":"ref_49","unstructured":"Xiong, J., and Jamieson, K. (2013, January 2\u20135). ArrayTrack: A Fine-Grained indoor location system. Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13), Lombard, IL, USA."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1109\/TSMCC.2007.905750","article-title":"Survey of wireless indoor positioning techniques and systems","volume":"37","author":"Liu","year":"2007","journal-title":"IEEE Trans. Syst. Man Cybern. Part C"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Oppermann, I., H\u00e4m\u00e4l\u00e4inen, M., and Iinatti, J. (2004). UWB: Theory and Applications, John Wiley & Sons.","DOI":"10.1002\/0470869194"},{"key":"ref_52","unstructured":"Ijaz, F., Yang, H.K., Ahmad, A.W., and Lee, C. (2013, January 27\u201330). Indoor positioning: A review of indoor ultrasonic positioning systems. Proceedings of the 2013 15th International Conference on Advanced Communications Technology (ICACT), Pyeong Chang, Republic of Korea."},{"key":"ref_53","unstructured":"Qorvo (2022, November 14). Qorvo All Around You. Available online: https:\/\/www.qorvo.com\/."},{"key":"ref_54","unstructured":"Pozyx (2024, February 08). Pozyx. Available online: https:\/\/www.pozyx.io\/."},{"key":"ref_55","unstructured":"Eliko (2022, December 10). Next-Generation Location Tracking. Available online: https:\/\/eliko.tech\/."},{"key":"ref_56","unstructured":"Marvelmind (2022, November 23). Marvelmind Robotics. Available online: https:\/\/marvelmind.com\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/7\/2095\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:18:19Z","timestamp":1760105899000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/7\/2095"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,25]]},"references-count":56,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["s24072095"],"URL":"https:\/\/doi.org\/10.3390\/s24072095","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,25]]}}}