國立虎尾科技大學 |

Parallel and Distributed Map Merging and Localization = Algorithms, Tools and Strategies for Robotic Networks /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Parallel and Distributed Map Merging and Localization/ by Rosario Aragues, Carlos Sagüés, Youcef Mezouar.
Reminder of title:	Algorithms, Tools and Strategies for Robotic Networks /
Author:	Aragues, Rosario.
other author:	Sagüés, Carlos.
Description:	VIII, 116 p. 34 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://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 Sagüés, Youcef Mezouar. - 1st ed. 2015. - VIII, 116 p. 34 illus.online resource. - 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:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Parallel and Distributed Map Merging and Localization = Algorithms, Tools and Strategies for Robotic Networks /
LDR:02536nam a22003855i 4500 001 969846
003 DE-He213
005 20200703120858.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319258867 $9 978-3-319-25886-7
024 7 $a 10.1007/978-3-319-25886-7 $2 doi
035 $a 978-3-319-25886-7
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Aragues, Rosario. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1069263
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 Sagüés, Youcef Mezouar.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a VIII, 116 p. 34 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Artificial intelligence. $3 559380
650 0 $a Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Computer communication systems. $3 1115394
650 0 $a Optical data processing. $3 639187
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Robotics and Automation. $3 782979
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Sagüés, Carlos. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1261027
700 1 $a Mezouar, Youcef. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1069264
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319258843
776 0 8 $i Printed edition: $z 9783319258850
830 0 $a SpringerBriefs in Computer Science, $x 2191-5768 $3 1255334
856 4 0 $u https://doi.org/10.1007/978-3-319-25886-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)