Towards learning strategies and exploration patterns for feature perception

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

*Corresponding author for this work

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

Abstract

During infancy, infants spend a lot of time visually exploring the scene around them. Over the first year of life, the level of detail that can be perceived visually increases significantly. In this study, the ability to perceive areas of interest w.r.t. human developmental change in vision, specifically acuity and field of view over the first year of life, is investigated. Two scenarios, namely learning through a series of developmental changes and learning without any constraints, shed light on how a humanoid robot scaffolds learning of interesting areas in the scene through different emergent exploratory behaviours. Divergence/convergence in features is reported, demonstrating a potential to be used at a higher level of understanding. Staged strategies with early sensory constraints and exploratory behaviour based on 'similarity searches' improve the quality of acquired features and may be used as a mechanism for better on-line learning of objects knowledge.

Original languageEnglish
Title of host publication2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
PublisherIEEE
Pages278-283
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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Lewkowicz, D., Giagkos, A., Shaw, P., Kumar, S., Lee, M., & Shen, Q. (2017). Towards learning strategies and exploration patterns for feature perception. In 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016 (pp. 278-283). [7846832] (2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016). IEEE. https://doi.org/10.1109/DEVLRN.2016.7846832