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SpringerBriefs in Computer Science: Algorithms, Tools and Strategies for Robotic Networks
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SpringerBriefs in Computer Science: Algorithms, Tools and Strategies for Robotic Networks
Aragues, Rosario; Sagüés, Carlos; Mezouar, Youcef
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.Details
Published by: Springer
Publication Date: 2015-11-10
Format: Paperback
ISBN-13: 9783319258843
DOI: 10.1007/978-3-319-25886-7
Dimensions: 235cm x155cm
Pages: 116