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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the Best-Of-N Problem

Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the Best-Of-N Problem

Valentini, Gabriele

Paperback

Series: Studies in Computational Intelligence, Book 706

Technology & EngineeringGeneral Computers

ISBN10: 3319851969
ISBN13: 9783319851969
Publisher: Springer Nature
Published: May 4 2018
Pages: 146
Weight: 0.52
Height: 0.35 Width: 6.14 Depth: 9.21
Language: English

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.

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