Title :
Convolutional network for vergence control
Author :
Chumerin, Nikolay ; Gibaldi, Agostino ; Sabatini, Silvio P. ; Van Hulle, Marc M.
Author_Institution :
Lab. voor Neuro- en Psychofysiologie, Katholieke Univ. Leuven, Leuven, Belgium
Abstract :
We present a biologically-inspired model for the one-shot vergence control of a robotic head, which has been used for an investigation of two vergence control networks. Both networks do not work with explicitly computed disparity, but extract the vergence control signal from the postprocessed response of a population of disparity tuned complex cells, the actual gaze direction and the actual vergence angle. Training and evaluation of the networks are also discussed.
Keywords :
neurocontrollers; position control; robots; convolutional network; gaze direction; one-shot vergence control; robotic head; tuned complex cells; vergence angle; Biological control systems; Convolution; Data mining; Detectors; Engines; Head; Laboratories; Layout; Ray tracing; Robots;
Conference_Titel :
Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on
Conference_Location :
Bratislava
Print_ISBN :
978-1-4244-4640-7
Electronic_ISBN :
978-1-4244-4641-4
DOI :
10.1109/ISABEL.2009.5373674
