Learning predictive models of a depth camera & manipulator from raw execution traces

Abstract

In this paper, we attack the problem of learning a predictive model of a depth camera and manipulator directly from raw execution traces. While the problem of learning manipulator models from visual and proprioceptive data has been addressed before, existing techniques often rely on assumptions about the structure of the robot or tracked features in… (More)
DOI: 10.1109/ICRA.2014.6907443

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