Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods

Dexterous robots have emerged in the last decade in response to the need for fine-motor-control assistance in applications as diverse as surgery, undersea welding, and mechanical manipulation in space. Crucial to the fine operation and contact environmental perception are tactile sensors that are fi...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 65; H. 3; S. 656 - 665
Hauptverfasser:	Liu, Huaping, Guo, Di, Sun, Fuchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification Coding Contact Dexterous robot Encoding joint sparse coding Kernel kernel sparse coding Kernels Object recognition Robots Sensors Silicon Surface layer Tactile tactile measurement Texture Training object recognition kernel sparse coding Dexterous robot tactile measurement joint sparse coding
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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