國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Robotic tactile perception and under...

Liu, Huaping.

Robotic tactile perception and understandinga sparse coding method /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robotic tactile perception and understandingby Huaping Liu, Fuchun Sun.
其他題名:	a sparse coding method /
作者:	Liu, Huaping.
其他作者:	Sun, Fuchun.
出版者:	Singapore :Springer Singapore :2018.
面頁冊數:	xx, 207 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Robot hands.
電子資源:	http://dx.doi.org/10.1007/978-981-10-6171-4
ISBN:	9789811061714$q(electronic bk.)

Robotic tactile perception and understandinga sparse coding method /
Liu, Huaping.

Robotic tactile perception and understandinga sparse coding method /[electronic resource] :by Huaping Liu, Fuchun Sun. - Singapore :Springer Singapore :2018. - xx, 207 p. :ill., digital ;24 cm.

This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.

ISBN: 9789811061714$q(electronic bk.)

Standard No.: 10.1007/978-981-10-6171-4doiSubjects--Topical Terms:

276519
Robot hands.

LC Class. No.: TJ211.43

Dewey Class. No.: 629.8933

Robotic tactile perception and understandinga sparse coding method /
LDR:01985nmm a2200313 a 4500 001 533453
003 DE-He213
005 20180320163358.0
006 m d
007 cr nn 008maaau
008 181205s2018 si s 0 eng d
020 $a 9789811061714$q(electronic bk.)
020 $a 9789811061707$q(paper)
024 7 $a 10.1007/978-981-10-6171-4 $2 doi
035 $a 978-981-10-6171-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.43
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 629.8933 $2 23
090 $a TJ211.43 $b .L783 2018
100 1 $a Liu, Huaping. $3 675324
245 1 0 $a Robotic tactile perception and understanding $h [electronic resource] : $b a sparse coding method / $c by Huaping Liu, Fuchun Sun.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a xx, 207 p. : $b ill., digital ; $c 24 cm.
520 $a This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.
650 0 $a Robot hands. $3 276519
650 0 $a Robots $x Programming. $3 231659
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Image Processing and Computer Vision. $3 274051
700 1 $a Sun, Fuchun. $3 674576
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-6171-4
950 $a Computer Science (Springer-11645)