Hyper RBF model for accurate reaching in redundant robotic systems

Neurocomputing

Volumn 61, Issue 1-4, 2004, Pages 495-501

  Molina Vilaplana, Javi ^a   Pedreno Molina J L ^a   Lopez Coronado J ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

Author keywords

Learning inverse kinematics; Reaching; Regularization networks; Robotics; Sensorimotor transformation

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER VISION; FUNCTIONS; LEARNING SYSTEMS; ROBOTS;

HYPER RADIAL BASIS FUNCTIONS NETWORKS (HRBF); ROBOTIC SYSTEMS; VISUO-MOTOR ROBOTIC PLATFORMS;

NEURAL NETWORKS;

ACCURACY; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; EYE TRACKING; HAND FUNCTION; KINEMATICS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; ROBOTICS; SYSTEM ANALYSIS; VISUOMOTOR COORDINATION;

EID: 10244277975     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.06.006     Document Type: Article

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