東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Parallel and distributed map merging...

Aragues, Rosario.

FindBook

Google Book

Amazon

博客來

Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Parallel and distributed map merging and localization/ by Rosario Aragues, Carlos Sagues, Youcef Mezouar.
其他題名:	algorithms, tools and strategies for robotic networks /
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. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-25886-7
ISBN:	9783319258867

Parallel and distributed map merging and localization = 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:

519753
Robotics.

LC Class. No.: TJ211

Dewey Class. No.: 629.892

Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /
LDR:02214nmm a2200325 a 4500 001 2013136
003 DE-He213
005 20160428091552.0
006 m d
007 cr nn 008maaau
008 160518s2015 gw s 0 eng d
020 $a 9783319258867 $q (electronic bk.)
020 $a 9783319258843 $q (paper)
024 7 $a 10.1007/978-3-319-25886-7 $2 doi
035 $a 978-3-319-25886-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 629.892 $2 23
090 $a TJ211 $b .A659 2015
100 1 $a Aragues, Rosario. $3 2162469
245 1 0 $a Parallel and distributed map merging and localization $h [electronic resource] : $b algorithms, tools and strategies for robotic networks / $c by Rosario Aragues, Carlos Sagues, Youcef Mezouar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a viii, 116 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
520 $a 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.
650 0 $a Robotics. $3 519753
650 0 $a Robots $x Control systems. $3 667305
650 0 $a Intelligent control systems. $3 546464
650 0 $a Pattern perception. $3 649387
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Image Processing and Computer Vision. $3 891070
700 1 $a Sagues, Carlos. $3 2059400
700 1 $a Mezouar, Youcef. $3 2162470
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25886-7
950 $a Computer Science (Springer-11645)