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Robotic tactile perception and understandinga sparse coding method /
正題名/作者 ： Robotic tactile perception and understanding/ by 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 ： 線上閱讀(Springer)
ISBN ： 9789811061714$q(electronic bk.)
ISBN ： 9789811061707$q(paper)
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020 $a9789811061714$q(electronic bk.)
020 $a9789811061707$q(paper)
035 $a00334715
041 0 $aeng
050 4$aTJ211.43
082 04$a629.8933$223
090 $aE-BOOK/629.8933///UE028518
100 1 $aLiu, Huaping.$3438458
245 10$aRobotic tactile perception and understanding$h[electronic resource] :$ba sparse coding method /$cby Huaping Liu, Fuchun Sun.
260 $aSingapore :$bSpringer Singapore :$bImprint: Springer,$c2018.
300 $axx, 207 p. :$bill., digital ;$c24 cm.
520 $aThis book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.
650 0$aRobot hands.$3409521
650 0$aRobots$xProgramming.$3409887
650 14$aComputer Science.$3238508
650 24$aArtificial Intelligence (incl. Robotics)$3401781
650 24$aPattern Recognition.$3281527
650 24$aImage Processing and Computer Vision.$3402148
700 1 $aSun, Fuchun.$3484555
710 2 $aSpringerLink (Online service)$3374217
773 0 $tSpringer eBooks
856 40$uhttps://erm.library.ntpu.edu.tw/login?url=http://dx.doi.org/10.1007/978-981-10-6171-4$z線上閱讀(Springer)
950 $aComputer Science (Springer-11645)
Liu, Huaping.
Robotic tactile perception and understandinga sparse coding method /[electronic resource] :by Huaping Liu, Fuchun Sun. - Singapore :Springer Singapore :2018. - xx, 207 p. :ill., digital ;24 cm.
This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.
ISBN: 9789811061714$q(electronic bk.)Subjects--Topical Terms:
409521
Robot hands.
LC Class. No.: TJ211.43
Dewey Class. No.: 629.8933
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.)Subjects--Topical Terms:
409521
Robot hands.
LC Class. No.: TJ211.43
Dewey Class. No.: 629.8933
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