Authors:
Provides a systematic and comprehensive introduction to robotic tactile perception and understanding
Introduces machine-learning-based solutions for tactile perception and understanding
Showcase the applications of sparse coding methods
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Table of contents (10 chapters)
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Front Matter
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Background
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Front Matter
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Tactile Perception
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Front Matter
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Conclusions
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Front Matter
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About this book
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.
Authors and Affiliations
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Department of Computer Science and Technology, Tsinghua University, Beijing, China
Huaping Liu, Fuchun Sun
About the authors
Huaping Liu is an associate professor at the Department of Computer Science and Technology, Tsinghua University. He serves as an associate editor for various journals, including IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE Robotics & Automation Letters, Neurocomputing, Cognitive Computation. He has served as an associate editor for ICRA and IROS and on IJCAI, RSS, and IJCNN Program Committees. His research interests include robotic perception and learning.
Fuchun Sun is a full professor at the Department of Computer Science and Technology, Tsinghua University. He is the recipient of National Science Fund for Distinguished Young Scholars. He serves as an associate editor for a number of international journals, including IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, Mechatronics, Robotics and Autonomous Systems. His research interests include intelligent control and robotics.
Bibliographic Information
Book Title: Robotic Tactile Perception and Understanding
Book Subtitle: A Sparse Coding Method
Authors: Huaping Liu, Fuchun Sun
DOI: https://doi.org/10.1007/978-981-10-6171-4
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-6170-7Published: 27 March 2018
Softcover ISBN: 978-981-13-3873-1Published: 29 December 2018
eBook ISBN: 978-981-10-6171-4Published: 20 March 2018
Edition Number: 1
Number of Pages: XX, 207
Number of Illustrations: 94 b/w illustrations, 37 illustrations in colour
Topics: Artificial Intelligence, Pattern Recognition, Image Processing and Computer Vision