Authors: Patricia Shaw James Law Mark Lee
Publish Date: 2013/11/29
Volume: 37, Issue: 1, Pages: 97-110
Abstract
Gaze control requires the coordination of movements of both eyes and head to fixate on a target We present a biologically constrained architecture for gaze control and show how the relationships between the coupled sensorimotor systems can be learnt autonomously from scratch allowing for adaptation as the system grows or changes Infant studies suggest developmental learning strategies which can be applied to sensorimotor learning in humanoid robots We examine two strategies sequential and synchronous for the learning of eye and head coupled mappings and give results from implementations on an iCub robot The results show that the developmental approach can give fast cumulative online learning of coupled sensorimotor systemsThis research has received funds from the European Community 7th Framework Programme FP7/20072013 “Challenge 2—Cognitive Systems Interaction Robotics” Grant Agreement No ICTIP231722 project “IMCLeVeR—Intrinsically Motivated Cumulative Learning Versatile Robots”
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