Title :
Goal babbling with unknown ranges: A direction-sampling approach
Author_Institution :
Res. Inst. for Cognition & Robot. (CoR-Lab.), Bielefeld Univ., Bielefeld, Germany
Abstract :
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.
Keywords :
robots; sensors; bootstrap coordination skills; bootstrapping; direction-sampling approach; early goal-directed movement attempts; goal babbling; infants; random motor babbling; sensorimotor coordination; unknown ranges; Cleaning; Conferences; Inverse problems; Joints; Robot kinematics; Robot sensing systems; Goal Babbling; Goal Selection; Inverse Models;
Conference_Titel :
Development and Learning and Epigenetic Robotics (ICDL), 2013 IEEE Third Joint International Conference on
Conference_Location :
Osaka
DOI :
10.1109/DevLrn.2013.6652526