Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks

Nonfiction, Science & Nature, Technology, Robotics, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Parallel and Distributed Map Merging and Localization by Youcef Mezouar, Carlos Sagüés, Rosario Aragues, Springer International Publishing
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Author: Youcef Mezouar, Carlos Sagüés, Rosario Aragues ISBN: 9783319258867
Publisher: Springer International Publishing Publication: October 31, 2015
Imprint: Springer Language: English
Author: Youcef Mezouar, Carlos Sagüés, Rosario Aragues
ISBN: 9783319258867
Publisher: Springer International Publishing
Publication: October 31, 2015
Imprint: Springer
Language: English

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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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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