NDLI: Learning Robotic Hand-eye Coordination Through a Developmental Constraint Driven Approach

Content Provider	Springer Nature Link
Author	Chao, Fei Zhang, Xin Lin, Hai Xiong Zhou, Chang Le Jiang, Min
Copyright Year	2013
Abstract	The skill of robotic hand-eye coordination not only helps robots to deal with real time environment, but also affects the fundamental framework of robotic cognition. A number of approaches have been developed in the literature for construction of the robotic hand-eye coordination. However, several important features within infant developmental procedure have not been introduced into such approaches. This paper proposes a new method for robotic hand-eye coordination by imitating the developmental progress of human infants. The work employs a brain-like neural network system inspired by infant brain structure to learn hand-eye coordination, and adopts a developmental mechanism from psychology to drive the robot. The entire learning procedure is driven by developmental constraint: The robot starts to act under fully constrained conditions, when the robot learning system becomes stable, a new constraint is assigned to the robot. After that, the robot needs to act with this new condition again. When all the contained conditions have been overcome, the robot is able to obtain hand-eye coordination ability. The work is supported by experimental evaluation, which shows that the new approach is able to drive the robot to learn autonomously, and make the robot also exhibit developmental progress similar to human infants.
Starting Page	414
Ending Page	424
Page Count	11
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	10
Issue Number	5
e-ISSN	17518520
Language	English
Publisher	Springer-Verlag
Publisher Date	2014-05-22
Publisher Place	London
Access Restriction	Subscribed
Subject Keyword	Robotics developmental robotics developmental learning robotic hand-eye coordination robotic reaching Control, Robotics, Mechatronics Computer Applications Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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