國立高雄大學圖資館 |

Language: English

Back

Robotic vision guidance theory and technology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotic vision guidance theory and technologyby Anhu Li, Xingsheng Liu, Zhaojun Deng.
Author:	Li, Anhu.
other author:	Liu, Xingsheng.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 210 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer vision.
Online resource:	https://doi.org/10.1007/978-981-95-0744-3
ISBN:	9789819507443$q(electronic bk.)

Robotic vision guidance theory and technology
Li, Anhu.

Robotic vision guidance theory and technology[electronic resource] /by Anhu Li, Xingsheng Liu, Zhaojun Deng. - Singapore :Springer Nature Singapore :2025. - xvi, 210 p. :ill., digital ;24 cm.

Introduction -- Fundamentals of Robotic Vision Guidance -- Calibration of Robotic Vision Systems.

This book focuses on the basic theories and key technologies for robotic vision. The book features an in-depth demonstration of system parameter calibration, three-dimensional vision measurement, object pose estimation, tracking control strategies, and multi-sensor fusion methods, accompanied by robotic guidance solutions in various applications. The contributed work can help promote the development and application of robotic guidance for autonomous navigation, grasping and manipulation tasks. Researchers and engineers in the field of robotic perception, visual measurement and visual tracking can benefit from the book. The potential users include undergraduates and postgraduates majoring in intelligent manufacturing and artificial intelligence. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

ISBN: 9789819507443$q(electronic bk.)

Standard No.: 10.1007/978-981-95-0744-3doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Robotic vision guidance theory and technology
LDR:02015nmm a22003255a 4500 001 693024
003 DE-He213
005 20251202161951.0
006 m d
007 cr nn 008maaau
008 260622s2025 si s 0 eng d
020 $a 9789819507443$q(electronic bk.)
020 $a 9789819507436$q(paper)
024 7 $a 10.1007/978-981-95-0744-3 $2 doi
035 $a 978-981-95-0744-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .L693 2025
100 1 $a Li, Anhu. $3 826659
245 1 0 $a Robotic vision guidance theory and technology $h [electronic resource] / $c by Anhu Li, Xingsheng Liu, Zhaojun Deng.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvi, 210 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Fundamentals of Robotic Vision Guidance -- Calibration of Robotic Vision Systems.
520 $a This book focuses on the basic theories and key technologies for robotic vision. The book features an in-depth demonstration of system parameter calibration, three-dimensional vision measurement, object pose estimation, tracking control strategies, and multi-sensor fusion methods, accompanied by robotic guidance solutions in various applications. The contributed work can help promote the development and application of robotic guidance for autonomous navigation, grasping and manipulation tasks. Researchers and engineers in the field of robotic perception, visual measurement and visual tracking can benefit from the book. The potential users include undergraduates and postgraduates majoring in intelligent manufacturing and artificial intelligence. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
650 0 $a Computer vision. $3 200113
650 0 $a Automatic control. $3 182078
650 0 $a Robotics. $3 181952
650 0 $a Automation. $3 190451
650 1 4 $a Computer Vision. $3 913138
650 2 4 $a Control, Robotics, Automation. $3 914981
700 1 $a Liu, Xingsheng. $3 710331
700 1 $a Deng, Zhaojun. $3 1009398
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-95-0744-3
950 $a Mechanical Engineering (R0) (SpringerNature-85268)