Name: Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the Best-Of-N Problem (en Inglés)
Price: 217240.00 CLP
Availability: InStock
Author: Valentini, Gabriele
ISBN: 9783319851969

portada Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the Best-Of-N Problem (en Inglés)

Formato

Libro Físico

Autor

Gabriele Valentini

Editorial

Springer

Idioma

Inglés

N° páginas

146

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.9 cm

Peso

0.24 kg.

ISBN13

9783319851969

Categorías

Ingeniería: general
Robótica
Inteligencia artificial

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

Gabriele Valentini (Autor) · Springer · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the Best-Of-N Problem (en Inglés)"

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.