Robotic Swarm for Marine and Submarine Missions: Challenges and Perspectives

Alberto Luvisutto, Aaesha Al Shehhi, Nikita Mankovskii, Federico Renda, Cesare Stefanini, Giulia De Masi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageBritish English
Title of host publication2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665416894
DOIs
StatePublished - 2022
Event2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 - Singapore, Singapore
Duration: 19 Sep 202221 Sep 2022

Publication series

Name2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022

Conference

Conference2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022
Country/TerritorySingapore
CitySingapore
Period19/09/2221/09/22

Keywords

  • multivehicle system
  • swarm robotics
  • underwater robotics

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