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Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1007\/s44443-025-00216-x","article-title":"A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models","volume":"37","author":"Waga","year":"2025","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"ref_4","first-page":"36","article-title":"Multi-sensor fusion and cooperative perception for autonomous driving: A review","volume":"15","author":"Xiang","year":"2023","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1632046","DOI":"10.1080\/23311916.2019.1632046","article-title":"A comprehensive study for robot navigation techniques","volume":"6","author":"Gul","year":"2019","journal-title":"Cogent Eng."},{"key":"ref_6","first-page":"217575","article-title":"Multi-sensor robotic mapping with thermal and acoustic imaging for non-contact technical diagnostics","volume":"28","author":"Koszyk","year":"2026","journal-title":"Eksploat. I-Niezawodn.\u2013Maint. Reliab."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"15277","DOI":"10.1021\/acsnano.3c04089","article-title":"Sensing in soft robotics","volume":"17","author":"Hegde","year":"2023","journal-title":"ACS Nano"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1016\/j.jmapro.2022.05.029","article-title":"Application of sensing technology in intelligent robotic arc welding: A review","volume":"79","author":"Xu","year":"2022","journal-title":"J. Manuf. Process."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"17298806221095974","DOI":"10.1177\/17298806221095974","article-title":"A review on sensory perception for dexterous robotic manipulation","volume":"19","author":"Xia","year":"2022","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Beetz, M., B\u00e1lint-Bencz\u00e9di, F., Blodow, N., Nyga, D., Wiedemeyer, T., and Marton, Z.C. (2015). Robosherlock: Unstructured information processing for robot perception. Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 26\u201330 May 2015, IEEE.","DOI":"10.1109\/ICRA.2015.7139395"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/s11370-020-00324-9","article-title":"Robot perception of static and dynamic objects with an autonomous floor scrubber","volume":"13","author":"Yan","year":"2020","journal-title":"Intell. Serv. Robot."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4975","DOI":"10.1109\/TRO.2025.3593079","article-title":"Continuous-time state estimation methods in robotics: A survey","volume":"41","author":"Talbot","year":"2025","journal-title":"IEEE Trans. Robot."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1177\/0278364919894385","article-title":"Contact-aided invariant extended Kalman filtering for robot state estimation","volume":"39","author":"Hartley","year":"2020","journal-title":"Int. J. Robot. Res."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Rotella, N., Bloesch, M., Righetti, L., and Schaal, S. (2014). State estimation for a humanoid robot. Proceedings of the 2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, USA, 14\u201318 September 2014, IEEE.","DOI":"10.1109\/IROS.2014.6942674"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1145\/3564696","article-title":"Multiple mobile robot task and motion planning: A survey","volume":"55","author":"Antonyshyn","year":"2023","journal-title":"ACM Comput. Surv."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/MRA.2011.941635","article-title":"Motion planning","volume":"18","year":"2011","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/TRO.2020.3006716","article-title":"Motion planning networks: Bridging the gap between learning-based and classical motion planners","volume":"37","author":"Qureshi","year":"2020","journal-title":"IEEE Trans. Robot."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"5215","DOI":"10.1109\/TIE.2023.3281701","article-title":"A novel faster fixed-time adaptive control for robotic systems with input saturation","volume":"71","author":"Liu","year":"2023","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3758","DOI":"10.1109\/LRA.2019.2929987","article-title":"Data-driven model predictive control for trajectory tracking with a robotic arm","volume":"4","author":"Carron","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_20","unstructured":"Bhardwaj, M. (2024). When Models Meet Data: Pragmatic Robot Learning with Model-Based Optimization, University of Washington."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Didwania, R., Verma, R., and Dhanda, N. (2024). Application of robotics in manufacturing industry. Machine Vision and Industrial Robotics in Manufacturing, CRC Press.","DOI":"10.1201\/9781003438137-4"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/OJCS.2023.3238324","article-title":"Multi-robot systems and cooperative object transport: Communications, platforms, and challenges","volume":"4","author":"An","year":"2023","journal-title":"IEEE Open J. Comput. Soc."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"110161","DOI":"10.1016\/j.compag.2025.110161","article-title":"Reconfigurable agricultural robotics: Control strategies, communication, and applications","volume":"234","author":"Pedraza","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Duc-Nam, N., Dinh-Trung, N., Duc-Anh, N., Minh-Tuan, H., Duc-Binh, N., and Thai-Hiep, N. (2024). Design of remote swerve-drive mechanism-based mobile platform for transportation applications. Proceedings of the 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET), Sydney, Australia, 25\u201327 July 2024, IEEE.","DOI":"10.1109\/ICECET61485.2024.10698061"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Koszyk, J., Hyla, B., and Ambrozi\u0144ski, \u0141. (2025). Enhanced Point Cloud Integration with Time-Separated LiDAR Scans from a Quadruped Robot. Proceedings of the 2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR), Mi\u0119dzyzdroje, Poland, 26\u201329 August 2025, IEEE.","DOI":"10.1109\/MMAR65820.2025.11151009"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Thirunagalingam, A., and Selvakumar, P. (2025). Application of automation and robotics in the oil and gas industry. Revolutionizing AI and Robotics in the Oil and Gas Industry, IGI Global Scientific Publishing.","DOI":"10.4018\/979-8-3693-8156-4.ch011"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Asgharian, P., Panchea, A.M., and Ferland, F. (2022). A review on the use of mobile service robots in elderly care. Robotics, 11.","DOI":"10.3390\/robotics11060127"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Hwang, J., Bai, B., and Erdem, M. (2026). Service robot technologies as social actors: A systematic review. J. Hosp. Tour. Technol., ahead-of-print.","DOI":"10.1108\/JHTT-01-2025-0097"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1177\/10946705221107704","article-title":"How smart should a service robot be?","volume":"25","author":"Schepers","year":"2022","journal-title":"J. Serv. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.1109\/TMECH.2014.2308312","article-title":"Multi-DOF counterbalance mechanism for a service robot arm","volume":"19","author":"Kim","year":"2014","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Barakeh, Z.A., Alkork, S., Karar, A.S., Said, S., and Beyrouthy, T. (2019). Pepper humanoid robot as a service robot: A customer approach. Proceedings of the 2019 3rd International Conference on Bio-Engineering for Smart Technologies (BioSMART), Paris, France, 24\u201326 April 2019, IEEE.","DOI":"10.1109\/BIOSMART.2019.8734250"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1145\/3727642","article-title":"A comprehensive review on autonomous navigation","volume":"57","author":"Nahavandi","year":"2025","journal-title":"ACM Comput. Surv."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"eadi9641","DOI":"10.1126\/scirobotics.adi9641","article-title":"Learning robust autonomous navigation and locomotion for wheeled-legged robots","volume":"9","author":"Lee","year":"2024","journal-title":"Sci. Robot."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Kayukawa, S., Sato, D., Murata, M., Ishihara, T., Takagi, H., Morishima, S., and Asakawa, C. (2023, January 23\u201328). Enhancing blind visitor\u2019s autonomy in a science museum using an autonomous navigation robot. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany.","DOI":"10.1145\/3544548.3581220"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wang, C., Meng, L., She, S., Mitchell, I.M., Li, T., Tung, F., Wan, W., Meng, M.Q.H., and De Silva, C.W. (2017). Autonomous mobile robot navigation in uneven and unstructured indoor environments. Proceedings of the 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 24\u201328 September 2017, IEEE.","DOI":"10.1109\/IROS.2017.8202145"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Gilroy, S., Lau, D., Yang, L., Izaguirre, E., Biermayer, K., Xiao, A., Sun, M., Agrawal, A., Zeng, J., and Li, Z. (2021). Autonomous navigation for quadrupedal robots with optimized jumping through constrained obstacles. Proceedings of the 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 23\u201327 August 2021, IEEE.","DOI":"10.1109\/CASE49439.2021.9551524"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Kowalczyk, W., and Joon, A. (2026). Formation-Preserving Control for Multi-robot Systems Using Artificial Potential Functions for Collision Avoidance. Proceedings of the Polish Control Conference, Springer.","DOI":"10.1007\/978-3-032-32216-6_4"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"126871","DOI":"10.1109\/ACCESS.2022.3218653","article-title":"A centralized strategy for multi-agent exploration","volume":"10","author":"Gul","year":"2022","journal-title":"IEEE Access"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s10626-023-00383-x","article-title":"Multi-level control for multiple mobile robot systems","volume":"33","author":"Roszkowska","year":"2023","journal-title":"Discret. Event Dyn. Syst."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s10846-021-01378-2","article-title":"Multi-robot coordination analysis, taxonomy, challenges and future scope","volume":"102","author":"Verma","year":"2021","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s10514-010-9202-3","article-title":"Time-extended multi-robot coordination for domains with intra-path constraints","volume":"30","author":"Jones","year":"2011","journal-title":"Auton. Robot."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Van Damme, M., Beyl, P., Vanderborght, B., Grosu, V., Van Ham, R., Vanderniepen, I., Matthys, A., and Lefeber, D. (2011). Estimating robot end-effector force from noisy actuator torque measurements. Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China, 9\u201313 May 2011, IEEE.","DOI":"10.1109\/ICRA.2011.5980210"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1109\/70.736780","article-title":"Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing","volume":"14","author":"Ohya","year":"1998","journal-title":"IEEE Trans. Robot. Autom."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6744","DOI":"10.1109\/TASE.2023.3330371","article-title":"A dynamic programming framework for optimal planning of redundant robots along prescribed paths with kineto-dynamic constraints","volume":"21","author":"Ferrentino","year":"2023","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1109\/ACCESS.2024.3522937","article-title":"Noise suppression method with low-complexity noise estimation model and heuristic noise-masking algorithm for real-time processing of robot vacuum cleaners","volume":"13","author":"Shin","year":"2024","journal-title":"IEEE Access"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2765","DOI":"10.1109\/TRO.2025.3552348","article-title":"Splat-nav: Safe real-time robot navigation in gaussian splatting maps","volume":"41","author":"Chen","year":"2025","journal-title":"IEEE Trans. Robot."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Zhu, Y., Zhu, M., Wen, J., Liu, N., Xu, Z., Meng, W., Peng, Y., Shen, C., and Feng, F. (2025, January 4\u20139). ChatVLA: Unified multimodal understanding and robot control with vision-language-action model. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Suzhou, China.","DOI":"10.18653\/v1\/2025.emnlp-main.273"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sun, J., Zhang, Q., Duan, Y., Jiang, X., Cheng, C., and Xu, R. (2024). Prompt, plan, perform: LLM-based humanoid control via quantized imitation learning. Proceedings of the 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13\u201317 May 2024, IEEE.","DOI":"10.1109\/ICRA57147.2024.10610948"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Morelli, J., Zhu, P., Doerr, B., Linares, R., and Ferrari, S. (2019). Integrated mapping and path planning for very large-scale robotic (VLSR) systems. Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20\u201324 May 2019, IEEE.","DOI":"10.1109\/ICRA.2019.8793795"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Umay, I., Fidan, B., and Melek, W. (2019). An integrated task and motion planning technique for multi-robot-systems. Proceedings of the 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE), Ottawa, ON, Canada, 17\u201318 June 2019, IEEE.","DOI":"10.1109\/ROSE.2019.8790413"},{"key":"ref_51","first-page":"1180","article-title":"Merging global and local planners: Real-time replanning algorithm of redundant robots within a task-priority framework","volume":"20","author":"Antonelli","year":"2022","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"200188","DOI":"10.1016\/j.sasc.2025.200188","article-title":"Path planning of factory handling robot integrating fuzzy logic-PID control technology","volume":"7","author":"Si","year":"2025","journal-title":"Syst. Soft Comput."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Abaza, B.F., Staicu, A.A., and Doicin, C.V. (2026). Lightweight Semantic-Aware Route Planning on Edge Hardware for Indoor Mobile Robots: Monocular Camera-2D LiDAR Fusion with Penalty-Weighted Nav2 Route Server Replanning. Sensors, 26.","DOI":"10.3390\/s26072232"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Bem, M., Ude, A., and Nemec, B. (2026). Experimental Validation of the Direct Kinematics of a Passive Stewart-Gough Platform with Modified Cardan Joints Using Integrated Absolute Linear Encoders. Sensors, 26.","DOI":"10.3390\/s26030771"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Nedjah, N., Cardoso, K.d.S., and Mourelle, L.d.M. (2025). Collaborative Swarm Robotics for Object Transport via Caging. Sensors, 25.","DOI":"10.3390\/s25165063"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Dong, X., Wang, Y., Fang, C., Ran, K., and Liu, G. (2025). FHQ-RRT*: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster. Sensors, 25.","DOI":"10.3390\/s25072189"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Manrique-Cordoba, J., de la Casa-Lillo, M.\u00c1., and Sabater-Navarro, J.M. (2025). N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning. Sensors, 25.","DOI":"10.3390\/s25072145"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Zhang, Y., and Hashimoto, K. (2024). Garment Recognition and Reconstruction Using Object Simultaneous Localization and Mapping. Sensors, 24.","DOI":"10.3390\/s24237622"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Turlapati, S.H., Nguyen, V.P., Gurnani, J., Bin Ariffin, M.Z., Kana, S., Wong, A.H.Y., Han, B.S., and Campolo, D. (2024). Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization. Sensors, 24.","DOI":"10.3390\/s24237465"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Szczepanski, R., Erwinski, K., Tejer, M., and Daab, D. (2024). Optimal Path Planning Algorithm with Built-In Velocity Profiling for Collaborative Robot. Sensors, 24.","DOI":"10.3390\/s24165332"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Dong, Z., Zheng, J., Guo, C., Zhao, F., Chu, Y., and Chen, X. (2026). Reinforcement Learning-Driven Autonomous Path Planning for Unmanned Surface Vehicles: Current Status, Challenges, and Future Prospects. 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