Development of robot self-identification based on visuomotor prediction

Abstract

We propose a developmental method that enables a robot to identify visual locations associated with its own body from a cluttered visual image based on the concept of visuomotor predictors. A set of statistical predictors are trained by linear regression to predict the visual features at each visual location from proprioceptive input. By measuring each… (More)
DOI: 10.1109/DevLrn.2012.6400878

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