Achieving Consensus in Robot Swarms
Produktnummer:
1844c384fa97b24df7a5daac7b5a5321d5
| Autor: | Valentini, Gabriele |
|---|---|
| Themengebiete: | Collective Decision-making Computational Intelligence Decisions for Robot Swarms Finite Optimal Solution Self-Organization |
| Veröffentlichungsdatum: | 22.02.2017 |
| EAN: | 9783319536088 |
| Sprache: | Englisch |
| Seitenzahl: | 146 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Untertitel: | Design and Analysis of Strategies for the best-of-n Problem |
Produktinformationen "Achieving Consensus in Robot Swarms"
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 identi?es 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 ?nite set when optimizing bene?ts and costs. The book leverages the identi?cation 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.
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