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Více informací o knize Parallel and Distributed Map Merging and Localization

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Plný název: Parallel and Distributed Map Merging and Localization
• Podnázev: Algorithms, Tools and Strategies for Robotic Networks
• Autor: Rosario Aragues, Carlos Sagues, Youcef Mezouar
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 116
• EAN: 9783319258843
• ISBN: 3319258842
• ID: 09545801
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 273 g
• Rozměry: 235 × 155 × 6 mm
• Datum vydání: 10. November 2015

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