Robotic Tactile Perception and Understanding - A Sparse Coding Method (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	March 2018
First published:	2018
Authors:	Huaping Liu • Fuchun Sun
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	207
Edition:	1st ed. 2018
ISBN-13:	978-981-10-6170-7
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	981-10-6170-X
Barcode:	9789811061707

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