An autonomous developmental learning approach for robotic eye-hand coordination.

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents a developmental learning approach for eye-hand coordination in autonomous robotic system. Essential elements of this approach are inspired by current findings in neural research and developmental psychology. The integration of robot reaching and saccadic eye move ments is based on a substrate that combines two different proprioception sensor qualities; we call this substrate a visual memory map. The approach provides developmental learning of reaching, of saccadic movements, and the coordination of both tasks. In this paper, we focus on the learning of coordination, and introduce experiments that demonstrate our learning process of eye-hand coordination. The learning algorithm creates cross-modal links between sensorimotor maps and proprioceptive maps. As we will show, this learning algorithm supports a fast and incremental learning of behavioral competence.
Original languageEnglish
Pages13
Number of pages27
Publication statusPublished - 2009
EventArtificial Intelligence and Applications - Innsbruck, Austria
Duration: 17 Feb 200918 Feb 2009

Conference

ConferenceArtificial Intelligence and Applications
Country/TerritoryAustria
CityInnsbruck
Period17 Feb 200918 Feb 2009

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