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Design Considerations for Strategic Autonomous Underwater Swarm Robotic Systems
Author(s) -
N. Vedachalam,
R. Ramesh,
V. Bala Naga Jyothi,
V. Doss Prakash,
G. A. Ramadass,
M. A. Atmanand
Publication year - 2020
Publication title -
marine technology society journal/marine technology society journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.23
H-Index - 43
eISSN - 1948-1209
pISSN - 0025-3324
DOI - 10.4031/mtsj.54.2.6
Subject(s) - underwater , swarm behaviour , systems engineering , identification (biology) , computer science , quality (philosophy) , swarm intelligence , engineering , marine engineering , artificial intelligence , particle swarm optimization , ecology , oceanography , geology , philosophy , epistemology , machine learning , biology
Abstract Autonomous underwater swarm robotic systems (AU-SRS) are vital for exploration of the vast marine resources, spatio-temporal monitoring of the oceans for understanding the changing climate patterns, marine pollution monitoring, defense, and identification of assets lost in the oceans. The paper summarizes the technological developments in the autonomous underwater vehicles hitherto and discusses the design requirements for next-generation intelligent AU-SRS including intra-vehicle intelligence, inter-vehicle communication, intervention capability, swarm algorithms, and bio-inspired designs. The importance of quality-centered system engineering is also detailed.

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