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A developmental approach to robotic pointing via human-robot interaction

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journal contribution
posted on 2015-07-08, 13:20 authored by Fei Chao, Zhengshuai Wang, Changjing Shang, Qinggang MengQinggang Meng, Min Jiang, Changle Zhou, Qiang Shen
The ability of pointing is recognised as an essential skill of a robot in its communication and social interaction. This paper introduces a developmental learning approach to robotic pointing, by exploiting the interactions between a human and a robot. The approach is inspired through observing the process of human infant development. It works by first applying a reinforcement learning algorithm to guide the robot to create attempt movements towards a salient object that is out of the robot's initial reachable space. Through such movements, a human demonstrator is able to understand the robot desires to touch the target and consequently, to assist the robot to eventually reach the object successfully. The human-robot interaction helps establish the understanding of pointing gestures in the perception of both the human and the robot. From this, the robot can collect the successful pointing gestures in an effort to learn how to interact with humans. Developmental constraints are utilised to drive the entire learning procedure. The work is supported by experimental evaluation, demonstrating that the proposed approach can lead the robot to gradually gain the desirable pointing ability. It also allows that the resulting robot system exhibits similar developmental progress and features as with human infants.

Funding

This work was supported by the National Natural Science Foundation of China (Nos. 61203336, 61273338 and 61003014) and the Major State Basic Research Development Program of China (973 Program) (No. 2013CB329502)

History

School

  • Science

Department

  • Computer Science

Published in

Information Sciences

Volume

283

Pages

288 - 303

Citation

CHAO, F. et al., 2014. A developmental approach to robotic pointing via human-robot interaction. Information Sciences, 283, pp. 288 - 303.

Publisher

© The Authors. Published by Elsevier Inc.

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2014

Notes

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/)

ISSN

0020-0255

Language

  • en

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