Achieving Consensus in Robot Swarms Design and Analysis of Strategies for the best-of-n Problem /

• Main Author: Valentini, Gabriele (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Studies in Computational Intelligence, 706
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Robotics.; Automation.; Computational Intelligence.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).

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...

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.