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Dimensionality reduction for sensorimotor learning in mobile robotics Invited Paper
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affine transformation algorithm analysis applications approach architecture average break called catastrophes chromosome classifier color combination components compression Computation corresponding decision defined described determine developed distribution dynamics effect Engineering equalization equation error evaluation Evolutionary example experiments extraction field Figure final fitness Fogel function fusion Fuzzy genetic given increase individual initial input learning limited logic magnetization matrix means measurement memory method nature neural network neurons object obtained operator optical optimization original output parameters patterns performance pixels plane population positive possible prediction presented problem Proc produce provides pulse reduce represent respectively rule Science segmentation selection sensor shown shows signal solution space SPIE standard step Table technique transformation University variables vector visual weights