Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Parallel and distributed map merging...
~
Aragues, Rosario.
Linked to FindBook
Google Book
Amazon
博客來
Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Parallel and distributed map merging and localization/ by Rosario Aragues, Carlos Sagues, Youcef Mezouar.
Reminder of title:
algorithms, tools and strategies for robotic networks /
Author:
Aragues, Rosario.
other author:
Sagues, Carlos.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
viii, 116 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Robotics. -
Online resource:
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 localization
algorithms, 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)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9274714
電子資源
11.線上閱覽_V
電子書
EB TJ211 .A659 2015
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login