Integration of active vision and reaching from a developmental robotics perspective

Martin Siegfried Hülse, Sebastian Daryl McBride, James Alexander Law, Mark Howard Lee

Research output: Contribution to journalArticlepeer-review

41 Citations (SciVal)

Abstract

Inspired by child development and brain research, we introduce a computational framework which integrates robotic active vision and reaching. Essential elements of this framework are sensorimotor mappings that link three different computational domains relating to visual data, gaze control, and reaching. The domain of gaze control is the central computational substrate that provides, first, a systematic visual search and, second, the transformation of visual data into coordinates for potential reach actions. In this respect, the representation of object locations emerges from the combination of sensorimotor mappings. The framework is tested in the form of two different architectures that perform visually guided reaching. Systematic experiments demonstrate how visual search influences reaching accuracy. The results of these experiments are discussed with respect to providing a reference architecture for developmental learning in humanoid robot systems.
Original languageEnglish
Pages (from-to)355-367
Number of pages13
JournalIEEE Transactions on Autonomous Mental Development
Volume2
Issue number4
DOIs
Publication statusPublished - 31 Dec 2010

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