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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.Produkteigenschaften
- Artikelnummer: 9783319258843
- Medium: Buch
- ISBN: 978-3-319-25884-3
- Verlag: Palgrave Macmillan
- Erscheinungstermin: 10.11.2015
- Sprache(n): Englisch
- Auflage: 1. Auflage 2015
- Serie: SpringerBriefs in Computer Science
- Produktform: Kartoniert, Paperback
- Gewicht: 201 g
- Seiten: 116
- Format (B x H x T): 155 x 235 x 8 mm
- Ausgabetyp: Kein, Unbekannt