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Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks

Parallel and Distributed Map Merging and Localization by Rosario Aragues
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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.
Springer International Publishing; October 2015
122 pages; ISBN 9783319258867
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Title: Parallel and Distributed Map Merging and Localization
Author: Rosario Aragues; Carlos Sagüés; Youcef Mezouar
 
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