Achieving Consensus in Robot Swarms

Name: Achieving Consensus in Robot Swarms
Brand: Springer International Publishing AG
SKU: 9783319851969
Price: 2742 CZK
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Design and Analysis of Strategies for the best-of-n Problem

Autor: GABRIELE VALENTINI

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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This book focuses on the design and analysis of collective decision-making strategies for the best-o...

Informace o knize

Autor

GABRIELE VALENTINI

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2018

Stránek

146

EAN

9783319851969

ISBN

9783319851969

Enbook ID

19534784

Vydavatel

Springer International Publishing AG

Hmotnost

454

Rozměry

155 x 235 x 9

Kompletní popis

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, using robot experiments to show how the designed strategies can be ported to different application scenarios.

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Achieving Consensus in Robot Swarms

Design and Analysis of Strategies for the best-of-n Problem

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také