Parallel and Distributed Map Merging and Localization ― Algorithms, Tools and Strategies for Robotic Networks
商品資訊
系列名：Springerbriefs in Computer Science
ISBN13：9783319258843
出版社：Springer Verlag
作者：Rosario Aragues; Carlos Sagues; Youcef Mezouar
出版日：2015/11/30
裝訂：平裝
規格：23.5cm*15.5cm (高/寬)
商品簡介
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.
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