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Robotic tactile perception and under...

Liu, Huaping.

Robotic tactile perception and understandinga sparse coding method /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotic tactile perception and understandingby Huaping Liu, Fuchun Sun.
Reminder of title:	a sparse coding method /
Author:	Liu, Huaping.
other author:	Sun, Fuchun.
Published:	Singapore :Springer Singapore :2018.
Description:	xx, 207 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Robot hands.
Online resource:	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 /
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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.
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