Description: Parallel and Distributed Map Merging and Localization : Algorithms, Tools and Strategies for Robotic Networks, Paperback by Aragues, Rosario; Sagüés, Carlos; Mezouar, Youcef, ISBN 3319258842, ISBN-13 9783319258843, Brand New, Free shipping in the US
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.Price: 67.03 USD
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Book Title: Parallel and Distributed Map Merging and Localization : Algorithm
Number of Pages: VIII, 116 Pages
Language: English
Publication Name: Parallel and Distributed Map Merging and Localization : Algorithms, Tools and Strategies for Robotic Networks
Publisher: Springer International Publishing A&G
Publication Year: 2015
Subject: Intelligence (Ai) & Semantics, Networking / General, Electrical, Robotics
Item Weight: 16 Oz
Type: Textbook
Author: Rosario Aragues, Youcef Mezouar, Carlos Sagues
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
