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Systematic Review Data Compilation: Coordinated Control of multiple Autonomous Surface Vehicles - Challenges and Advances

Author:
Gantiva Osorio, Manuel Eduardo; Ierardi, CarmelinaUniversidad Loyola Authority; Jurado Flores, IsabelUniversidad Loyola Authority; Pereira Martín, Mario; Millán Gata, PabloUniversidad Loyola Authority
URI:
https://hdl.handle.net/20.500.12412/5698
Date:
2024
Keyword(s):

Systematic Review

Coordinated Control

ASVs

Abstract:

The Excel document created for our systematic review titled "Coordinated Control of Multiple Autonomous Surface Vehicles: Challenges and Advances" is an essential tool for organizing and analyzing data. In this file, we have comprehensively compiled all the features extracted from each of the 125 selected articles. This comprehensive table allows for quick and efficient access to relevant information, facilitating detailed analysis and comparison between studies. Each article has been meticulously analyzed, and its key characteristics, such as methodologies, results, and areas of application, have been recorded to ensure a complete and detailed view of the current state of the method and its challenges in the field of coordinated control of autonomous surface vehicles. This compilation not only reflects the depth and breadth of existing research but also highlights emerging trends and knowledge gaps that still need to be addressed.

The Excel document created for our systematic review titled "Coordinated Control of Multiple Autonomous Surface Vehicles: Challenges and Advances" is an essential tool for organizing and analyzing data. In this file, we have comprehensively compiled all the features extracted from each of the 125 selected articles. This comprehensive table allows for quick and efficient access to relevant information, facilitating detailed analysis and comparison between studies. Each article has been meticulously analyzed, and its key characteristics, such as methodologies, results, and areas of application, have been recorded to ensure a complete and detailed view of the current state of the method and its challenges in the field of coordinated control of autonomous surface vehicles. This compilation not only reflects the depth and breadth of existing research but also highlights emerging trends and knowledge gaps that still need to be addressed.

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