Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the best-of-n Problem (Studies in Computational Intelligence, 706)

Valentini, Gabriele

ISBN 10: 3319851969 / ISBN 13: 9783319851969

Published by Springer, 2018

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Seller Inventory # ERICA79633198519696

Bibliographic Details

• Title: Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the best-of-n Problem (Studies in Computational Intelligence, 706)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319851969
• ISBN 13: 9783319851969
• Binding: Paperback
• Condition: New
• Book Type: book

About this title

Synopsis

This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem. After providing a formalization of the structure of the best-of-n problem supported by a comprehensive survey of the swarm robotics literature, it introduces the functioning of a collective decision-making strategy and identifies a set of mechanisms that are essential for a strategy to solve the best-of-n problem. The best-of-n problem is an abstraction that captures the frequent requirement of a robot swarm to choose one option from of a finite set when optimizing benefits and costs. The book leverages the identification of these mechanisms to develop a modular and model-driven methodology to design collective decision-making strategies and to analyze their performance at different level of abstractions. Lastly, the author provides a series of case studies in which the proposed methodology is used to design different strategies, usingrobot experiments to show how the designed strategies can be ported to different application scenarios.