Robotic Swarm for Marine and Submarine Missions: Challenges and Perspectives

Alberto Luvisutto, Aaesha Al Shehhi, N. Mankovskii, F. Renda, C. Stefanini, Giulia De Masi
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引用次数: 1

Abstract

Underwater exploration and monitoring are particularly challenging for the absence of GPS, limited communications, high hydrodynamic pressure and harsh environmental conditions. Autonomous swarms of underwater robots can play a crucial role for missions such as wide area underwater exploration, environmental monitoring and inspection of existing engineering infrastructures, like oil and gas, and archaeological or historical sites, given their properties of scalability, robustness, flexibility, adaptability, enlarged perception and tasks’ parallelization. Driven by the need to understand the state of art and develop new solutions within the realization of a new swarm of underwater fishes1, we provide here a critical review of past and current projects of underwater swarms, focusing on sensors, mission tasks, algorithms, simulation environments and real life proofs of concept. Moreover, we analyze the research directions that can improve the impact of autonomous underwater swarms on environmental preservation and marine sustainable development, also considering the limiting factors imposed on these prospects.1This work is part of a new project “Heterogeneous Swarm of Underwater Autonomous Vehicles” funded by the Technology Innovation Institute and developed with Khalifa University, UAE
海洋和潜艇任务的机器人群:挑战和观点
由于缺乏GPS、通信有限、高水动压力和恶劣的环境条件,水下勘探和监测尤其具有挑战性。自主水下机器人群具有可扩展性、鲁棒性、灵活性、适应性、放大感知能力和任务并行化等特点,可以在广域水下勘探、环境监测和现有工程基础设施(如石油和天然气、考古或历史遗址)检查等任务中发挥重要作用。由于需要了解最新技术并在实现新的水下鱼群1的过程中开发新的解决方案,我们在这里对水下鱼群过去和当前的项目进行了批判性回顾,重点关注传感器、任务任务、算法、模拟环境和现实生活中的概念证明。分析了水下自主群对环境保护和海洋可持续发展影响的研究方向,并考虑了制约这些研究方向的因素。这项工作是由技术创新研究所资助并与阿联酋哈利法大学共同开发的新项目“水下自主车辆异质群”的一部分
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