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Bogue R. Underwater robots: A review of technologies and applications. Industrial Robot: An International Journal 42(3), 186–191, 2015, https://doi.org/10.1108/IR-01-2015-0010.Search in Google Scholar
Neira J, Sequeiros C, Huamani R, et al. Review on unmanned underwater robotics, structure designs, materials, sensors, actuators, and navigation control. Journal of Robotics 2021(1), 5542920, 2021, https://doi.org/10.1155/2021/5542920.Search in Google Scholar
Hasan K, Ahmad S, Liaf A F, et al. Oceanic challenges to technological solutions: A review of autonomous underwater vehicle path technologies in biomimicry, control, navigation and sensing. IEEE Access, 2024, https://doi.org/10.1109/ACCESS.2024.3380458.Search in Google Scholar
Luvisutto A, Al Shehhi A, Mankovskii N, et al. Robotic swarm for marine and submarine missions: Challenges and perspectives. In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE, 2022, 1–8, https://doi.org/10.1109/AUV53081.2022.9965934.Search in Google Scholar
Gao Z, Shi Q, Fukuda T, et al. An overview of biomimetic robots with animal behaviors. Neurocomputing 332, 339–350, 2019, https://doi.org/10.1016/j.neucom.2018.12.071.Search in Google Scholar
Wang R, Du J, Xiong Z, et al. Hierarchical collaborative navigation method for UAV swarm. Journal of Aerospace Engineering 34(1), 04020097, 2021, https://doi.org/10.1061/(ASCE)AS.1943-5525.0001216.Search in Google Scholar
Liu X, Yan C, Zhou H, et al. Towards flocking navigation and obstacle avoidance for multi-UAV systems through hierarchical weighting Vicsek model. Aerospace 8(10), 286, 2021, https://doi.org/10.3390/aerospace8100286.Search in Google Scholar
Wang F, Chen Y. A novel hierarchical flocking control framework for connected and automated vehicles. IEEE Transactions on Intelligent Transportation Systems 22(8), 4801–4812, 2020, https://doi.org/10.1109/TITS.2020.2986436.Search in Google Scholar
Rehman F U, Thomas G, Anderlini E. Centralized control system design for underwater transportation using two hovering autonomous underwater vehicles (HAUVs). IFACPapersOnLine 52(11), 13–18, 2019, https://doi.org/10.1016/j.ifacol.2019.09.111.Search in Google Scholar
Zhao R, Miao M, Lu J, et al. Formation control of multiple underwater robots based on ADMM distributed model predictive control. Ocean Engineering 257, 111585, 2022, https://doi.org/10.1016/j.oceaneng.2022.111585.Search in Google Scholar
Quattrini Li A, Carver C J, Shao Q, et al. Communication for underwater robots: Recent trends. Current Robotics Reports 4(2), 13–22, 2023, https://doi.org/10.1007/s43154-023-00100-4.Search in Google Scholar
Antonelli G. Interconnected dynamic systems: An overview on distributed control. IEEE Control Systems Magazine 33(1), 76–88, 2013, https://doi.org/10.1109/MCS.2012.2225929.Search in Google Scholar
Huy D Q, Sadjoli N, Azam A B, et al. Object perception in underwater environments: A survey on sensors and sensing methodologies. Ocean Engineering 267, 113202, 2023, https://doi.org/10.1016/j.oceaneng.2022.113202.Search in Google Scholar
Vicsek T, Czirók A, Ben-Jacob E, et al. Novel type of phase transition in a system of self-driven particles. Physical Review Letters 75(6), 1226–1229, 1995, https://doi.org/10.1103/PhysRevLett.75.1226.Search in Google Scholar
Jia Y, Vicsek T. Modelling hierarchical flocking. New Journal of Physics 21(9), 093048, 2019, https://doi.org/10.1088/1367-2630/ab428e.Search in Google Scholar
Kim J. Leader-based flocking of multiple swarm robots in underwater environments. Sensors 23(11), 5305, 2023, https://doi.org/10.3390/s23115305.Search in Google Scholar
Zhao Q, Luan Y, Li S, et al. The influences of self-introspection and credit evaluation on self-organized flocking. Applied Sciences 13(18), 10361, 2023, https://doi.org/10.3390/app131810361.Search in Google Scholar
Jia Y, Wang L. Leader–follower flocking of multiple robotic fish. IEEE/ASME Transactions on Mechatronics 20(3), 1372–1383, 2015, https://doi.org/10.1109/TMECH.2014.2337375.Search in Google Scholar
Shen J. Cucker–Smale flocking under hierarchical leadership. SIAM Journal on Applied Mathematics 68(3), 694–719, 2008, https://doi.org/10.1137/060673254.Search in Google Scholar
Han W, Wang J, Wang Y, et al. Multi-UAV flocking control with a hierarchical collective behavior pattern inspired by sheep. IEEE Transactions on Aerospace and Electronic Systems, 2024, https://doi.org/10.1109/TAES.2024.3351961.Search in Google Scholar
Cai W, Liu Z, Zhang M, et al. Cooperative artificial intelligence for underwater robotic swarm. Robotics and Autonomous Systems 164, 104410, 2023, https://doi.org/10.1016/j.robot.2023.104410.Search in Google Scholar
Zhao Q, Li S, Wang G, et al. A local consistency algorithm to shorten the convergence time and improve the robustness of self-propelled swarms. In 2020 Chinese Automation Congress (CAC). IEEE, 2020, 4153–4157, https://doi.org/10.1109/CAC51589.2020.9327201.Search in Google Scholar
Tiwari R, Jain P, Butail S, et al. Effect of leader placement on robotic swarm control. Proceedings of the 16th Conference on Autonomous Agents and Multiagent Systems, 2017, 1387–1394, https://dl.acm.org/citation.cfm?id=3091316&CFID=840116400&CFTOKEN=63016478.Search in Google Scholar
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