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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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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