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Parallel and distributed map merging and localization[electronic resource] :algorithms, tools and strategies for robotic networks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	629.892
書名/作者:	Parallel and distributed map merging and localization : algorithms, tools and strategies for robotic networks // by Rosario Aragues, Carlos Sagues, Youcef Mezouar.
作者:	Aragues, Rosario.
其他作者:	Sagues, Carlos.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	viii, 116 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Robotics.
標題:	Robots - Control systems.
標題:	Intelligent control systems.
標題:	Pattern perception.
標題:	Computer Science.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Robotics and Automation.
標題:	Computer Communication Networks.
標題:	Image Processing and Computer Vision.
ISBN:	9783319258867
ISBN:	9783319258843
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-25886-7

Parallel and distributed map merging and localization[electronic resource] :algorithms, tools and strategies for robotic networks /
Aragues, Rosario.

Parallel and distributed map merging and localizationalgorithms, tools and strategies for robotic networks /[electronic resource] :by Rosario Aragues, Carlos Sagues, Youcef Mezouar. - Cham :Springer International Publishing :2015. - viii, 116 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

ISBN: 9783319258867

Standard No.: 10.1007/978-3-319-25886-7doiSubjects--Topical Terms:

175953
Robotics.

LC Class. No.: TJ211

Dewey Class. No.: 629.892

Parallel and distributed map merging and localization[electronic resource] :algorithms, tools and strategies for robotic networks /
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