Developing object understanding through schema generalisation

Suresh Kumar*, Patricia Shaw, Daniel Lewkowicz, Alexandros Giagkos, Qiang Shen, Mark Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Psychologists report that infants rely on shape rather than colour for object recognition, differentiation and generalisation for both verbal and non-verbal tasks. In this paper we propose a mechanism for object generalisation, based on inductive inference and differentiation using visual along with non-visual information obtained through the manipulation of various objects. Experiments are conducted using a simple simulator to show the dependence of the generalisation on shape versus on colour. Results show that the mechanism creates complete generalisations for objects of different shapes and partial generalisation for objects of the same shape.

Original languageEnglish
Title of host publication2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
PublisherIEEE
Pages33-38
Number of pages6
ISBN (Electronic)9781509050697
ISBN (Print)978-1-5090-5070-3
DOIs
Publication statusPublished - 7 Feb 2017
Event2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016 - Cergy-Pontoise, France
Duration: 19 Sep 201622 Sep 2016

Publication series

Name2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
PublisherIEEE
ISSN (Electronic)2161-9484

Conference

Conference2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
CountryFrance
CityCergy-Pontoise
Period19/09/1622/09/16

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  • Cite this

    Kumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Shen, Q., & Lee, M. (2017). Developing object understanding through schema generalisation. In 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016 (pp. 33-38). [7846785] (2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016). IEEE. https://doi.org/10.1109/DEVLRN.2016.7846785