株式会社極東書店トップ ＞ 商品一覧 ＞ Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks. 1st ed. 2015
商品詳細
Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks. 1st ed. 2015
・ISBN 978-3-319-25884-3 paper EUR 49.99
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| 著者・編者 | Aragues, Rosario / Saguees, Carlos / Mezouar, Youcef, |
|---|---|
| シリーズ | (SpringerBriefs in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2015 |
| ページ数 | 116 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-25093＞ |
解説
This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them.
In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios.
The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.