{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T11:06:03Z","timestamp":1767092763617,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This special issue focuses on mobile robotic systems, where we are seeing a widespread increase in current applications as well as promising future applications enabled by the latest technologies in sensor development [...]<\/jats:p>","DOI":"10.3390\/s23062958","type":"journal-article","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T02:01:47Z","timestamp":1678327307000},"page":"2958","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Advanced Sensors Technologies Applied in Mobile Robot"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1461-3321","authenticated-orcid":false,"given":"Gregor","family":"Klan\u010dar","sequence":"first","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, 1000 Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1418-255X","authenticated-orcid":false,"given":"Marija","family":"Seder","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9347-8534","authenticated-orcid":false,"given":"Sa\u0161o","family":"Bla\u017ei\u010d","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, 1000 Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Galeote-Luque, A., Ruiz-Sarmiento, J.R., and Gonzalez-Jimenez, J. (2022). Efficient 3D Lidar Odometry Based on Planar Patches. Sensors, 22.","DOI":"10.3390\/s22186976"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Popescu, M., Mronga, D., Bergonzani, I., Kumar, S., and Kirchner, F. (2022). Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot. Sensors, 22.","DOI":"10.3390\/s22249853"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sarcevic, P., Csik, D., and Odry, A. (2023). Indoor 2D Positioning Method for Mobile Robots Based on the Fusion of RSSI and Magnetometer Fingerprints. Sensors, 23.","DOI":"10.3390\/s23041855"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Torres-Torriti, M., Nazate-Burgos, P., Paredes-Lizama, F., Guevara, J., and Auat Cheein, F. (2022). Passive Landmark Geometry Optimization and Evaluation for Reliable Autonomous Navigation in Mining Tunnels Using 2D Lidars. Sensors, 22.","DOI":"10.3390\/s22083038"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Usman, M., Ali, A., Tahir, A., Rahman, M.Z.U., and Khan, A.M. (2022). Efficient Approach for Extracting High-Level B-Spline Features from LIDAR Data for Light-Weight Mapping. Sensors, 22.","DOI":"10.3390\/s22239168"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Lee, W., Lee, D., Lee, S., Jun, K., and Kim, M.S. (2023). Deep-Learning-Based ADHD Classification Using Children\u2019s Skeleton Data Acquired through the ADHD Screening Game. Sensors, 23.","DOI":"10.3390\/s23010246"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Pathmakumar, T., Muthugala, M.A.V.J., Samarakoon, S.M.B.P., G\u00f3mez, B.F., and Elara, M.R. (2022). A Novel Path Planning Strategy for a Cleaning Audit Robot Using Geometrical Features and Swarm Algorithms. Sensors, 22.","DOI":"10.3390\/s22145317"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Pathmakumar, T., Elara, M.R., Soundararajan, S.V., and Ramalingam, B. (2022). Toward a Comprehensive Domestic Dirt Dataset Curation for Cleaning Auditing Applications. Sensors, 22.","DOI":"10.3390\/s22145201"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Pookkuttath, S., Rajesh Elara, M., Sivanantham, V., and Ramalingam, B. (2022). AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots. Sensors, 22.","DOI":"10.3390\/s22010013"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Lopez Lopez, R., Batista Sanchez, M.J., Perez Jimenez, M., Arrue, B.C., and Ollero, A. (2021). Autonomous UAV System for Cleaning Insulators in Power Line Inspection and Maintenance. Sensors, 21.","DOI":"10.3390\/s21248488"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Semwal, A., Mohan, R.E., Melvin, L.M.J., Palanisamy, P., Baskar, C., Yi, L., Pookkuttath, S., and Ramalingam, B. (2022). False Ceiling Deterioration Detection and Mapping Using a Deep Learning Framework and the Teleoperated Reconfigurable \u2018Falcon\u2019 Robot. Sensors, 22.","DOI":"10.3390\/s22010262"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"\u0160elek, A., Seder, M., Brezak, M., and Petrovi\u0107, I. (2022). Smooth Complete Coverage Trajectory Planning Algorithm for a Nonholonomic Robot. Sensors, 22.","DOI":"10.3390\/s22239269"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Benko Loknar, M., Klan\u010dar, G., and Bla\u017ei\u010d, S. (2023). Minimum-Time Trajectory Generation for Wheeled Mobile Systems Using B\u00e9zier Curves with Constraints on Velocity, Acceleration and Jerk. Sensors, 23.","DOI":"10.3390\/s23041982"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Klan\u010dar, G., Zde\u0161ar, A., and Krishnan, M. (2022). Robot Navigation Based on Potential Field and Gradient Obtained by Bilinear Interpolation and a Grid-Based Search. Sensors, 22.","DOI":"10.3390\/s22093295"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez, L., L\u00f3pez, A.M., \u00c1lvarez, J.C., and \u00c1lvarez, D. (2022). Real-Time Short-Term Pedestrian Trajectory Prediction Based on Gait Biomechanics. Sensors, 22.","DOI":"10.3390\/s22155828"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Vo, A.T., Truong, T.N., and Kang, H.J. (2022). An Adaptive Prescribed Performance Tracking Motion Control Methodology for Robotic Manipulators with Global Finite-Time Stability. Sensors, 22.","DOI":"10.3390\/s22207834"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Keipour, A., Pereira, G.A.S., Bonatti, R., Garg, R., Rastogi, P., Dubey, G., and Scherer, S. (2022). Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle. Sensors, 22.","DOI":"10.3390\/s22176549"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Montenegro, G., Chac\u00f3n, R., Fabregas, E., Garcia, G., Schr\u00f6der, K., Marroqu\u00edn, A., Dormido-Canto, S., and Farias, G. (2022). Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator. Sensors, 22.","DOI":"10.3390\/s22166020"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Klan\u010dar, G., and Seder, M. (2022). Coordinated Multi-Robotic Vehicles Navigation and Control in Shop Floor Automation. Sensors, 22.","DOI":"10.3390\/s22041455"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/2958\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:51:23Z","timestamp":1760122283000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/2958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,8]]},"references-count":19,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["s23062958"],"URL":"https:\/\/doi.org\/10.3390\/s23062958","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2023,3,8]]}}}