Overview
- Covers collective decision-making strategies for robot swarms
- Focuses on the design of self-organized solutions to the best-of-n problem—the problem of deciding which alternative among a finite set of options is the most beneficial choice for the swarm
- Deals with both theoretical and experimental aspects of collective decision-making and includes the results of experiments performed with a swarm of 100 robots
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 706)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Background and Methodology
-
Front Matter
-
-
Mathematical Modeling and Analysis
-
Front Matter
-
-
Robot Experiments
-
Front Matter
-
-
Discussion and Annexes
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Achieving Consensus in Robot Swarms
Book Subtitle: Design and Analysis of Strategies for the best-of-n Problem
Authors: Gabriele Valentini
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-53609-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-53608-8Published: 22 February 2017
Softcover ISBN: 978-3-319-85196-9Published: 04 May 2018
eBook ISBN: 978-3-319-53609-5Published: 14 February 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 146
Number of Illustrations: 9 b/w illustrations, 37 illustrations in colour
Topics: Computational Intelligence, Robotics and Automation, Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications