Journal
2013 IEEE THIRD JOINT INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL)
Volume -, Issue -, Pages -Publisher
IEEE
Keywords
Goal Babbling; Goal Selection; Inverse Models
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Goal babbling is a recent concept for the efficient bootstrapping of sensorimotor coordination that is inspired by infants' early goal-directed movement attempts. Several studies have shown its superior performance compared to random motor babbling. Yet, previous implementations of goal babbling require knowledge of a set of achievable goals in advance. This paper introduces an approach to goal babbling that can bootstrap coordination skills without pre-specifying, or even representing, a set of goals. On the contrary, it can discover the ranges of achievable goals autonomously. This capability is demonstrated in a challenging task with up to 50 degrees of freedom, in which the discovery of possible outcomes is shown to be desperately intractable with random motor babbling.
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