Majority voting: Material classification by tactile sensing using surface texture

IEEE Transactions on Robotics

Volumn 27, Issue 3, 2011, Pages 508-521

  Jamali, Nawid ^a   Sammut, Claude ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Frequency domain analysis; machine learning; tactile sensing; texture classification

Indexed keywords

ARTIFICIAL FINGER; BIOLOGICALLY INSPIRED; DATA SETS; DIFFERENT FREQUENCY; FOURIER COEFFICIENTS; MACHINE-LEARNING; MAJORITY VOTING; MANIPULATION TASK; MATERIAL CLASSIFICATION; NAIVE BAYES; OTHER APPLICATIONS; POLYVINYLIDENE FLUORIDES; RANDOMLY DISTRIBUTED; SENSOR OUTPUT; SURFACE FRICTION; SURFACE TEXTURES; TACTILE SENSING; TEST DATA; TEXTURE CLASSIFICATION;

CHLORINE COMPOUNDS; DECISION TREES; FOURIER ANALYSIS; FREQUENCY DOMAIN ANALYSIS; GAGES; LEARNING ALGORITHMS; LEARNING SYSTEMS; PLANT EXTRACTS; POLYVINYL CHLORIDES; QUALITY ASSURANCE; SILICONES; TEXTILE INDUSTRY; TEXTURES; WEAVING;

SURFACES;

EID: 79958765192     PISSN: 15523098     EISSN: None     Source Type: Journal    
DOI: 10.1109/TRO.2011.2127110     Document Type: Article

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