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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/18176

Title: A developmental approach to robotic pointing via human-robot interaction
Authors: Chao, Fei
Wang, Zhengshuai
Shang, Changjing
Meng, Qinggang
Jiang, Min
Zhou, Changle
Shen, Qiang
Keywords: Developmental robotics
Robotic pointing
Human robot interaction
Issue Date: 2014
Publisher: © The Authors. Published by Elsevier Inc.
Citation: CHAO, F. et al., 2014. A developmental approach to robotic pointing via human-robot interaction. Information Sciences, 283, pp. 288 - 303.
Abstract: 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.
Description: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/)
Sponsor: 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)
Version: Published
DOI: 10.1016/j.ins.2014.03.104
URI: https://dspace.lboro.ac.uk/2134/18176
Publisher Link: http://dx.doi.org/10.1016/j.ins.2014.03.104
ISSN: 0020-0255
Appears in Collections:Published Articles (Computer Science)

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