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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Detaylı Bibliyografya
Yazar: Valentini, Gabriele (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Computational Intelligence, 706
Konular:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Computational Intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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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