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
| Original language | British English |
|---|---|
| Title of host publication | 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665416894 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 - Singapore, Singapore Duration: 19 Sep 2022 → 21 Sep 2022 |
Publication series
| Name | 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 |
|---|
Conference
| Conference | 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 19/09/22 → 21/09/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 14 Life Below Water
Keywords
- multivehicle system
- swarm robotics
- underwater robotics
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