Parallel and Distributed Map Merging and Localization / SpringerBriefs in Computer Science (PDF)
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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.
This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
- Autoren: Rosario Aragues , Carlos Sagüés , Youcef Mezouar
- 2015, 1st ed. 2015, 116 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319258869
- ISBN-13: 9783319258867
- Erscheinungsdatum: 31.10.2015
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- Grösse: 4.61 MB
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