Achieving consensus in robot swarms : design and analysis of strategies for the best-of-n problem

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 collecti...

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Bibliographic Details
Main Author Valentini, Gabriele (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 706.
Subjects
Swarm intelligence.
Robotics.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319536095
9783319536088
ISSN1860-949X ;
Physical Description1 online resource (xiv, 146 pages) : illustrations (some color)

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Table of Contents:
  • Introduction
  • Part 1:Background and Methodology
  • Discrete Consensus Achievement in Artificial Systems
  • Modular Design of Strategies for the Best-of-n Problem
  • Part 2:Mathematical Modeling and Analysis
  • Indirect Modulation of Majority-Based Decisions
  • Direct Modulation of Voter-Based Decisions
  • Direct Modulation of Majority-Based Decisions
  • Part 3:Robot Experiments
  • A Robot Experiment in Site Selection
  • A Robot Experiment in Collective Perception
  • Part 4:Discussion and Annexes
  • Conclusions
  • Background on Markov Chains.

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