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We present a method for motor planning based on visuokines-thetic prediction by a forward model (FM) and the optimization method " differential evolution " (DE) for a block-pushing task of a robot arm. The FM is implemented by a set of multi-layer perceptrons and used for the iterative prediction of future sensory states in an internal simulation process.(More)
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