An Infant Development-inspired Approach to Robot Hand-eye Coordination

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An Infant Development-inspired Approach to Robot Hand-eye Coordination. / Chao, Fei; Lee, Mark Howard; Jiang, Min; Changle, Zhou .

In: International Journal of Advanced Robotic Systems, Vol. 11, 15, 2014.

Research output: Contribution to journalArticlepeer-review

Harvard

Chao, F, Lee, MH, Jiang, M & Changle, Z 2014, 'An Infant Development-inspired Approach to Robot Hand-eye Coordination', International Journal of Advanced Robotic Systems, vol. 11, 15. https://doi.org/10.5772/57555

APA

Chao, F., Lee, M. H., Jiang, M., & Changle, Z. (2014). An Infant Development-inspired Approach to Robot Hand-eye Coordination. International Journal of Advanced Robotic Systems, 11, [15]. https://doi.org/10.5772/57555

Vancouver

Chao F, Lee MH, Jiang M, Changle Z. An Infant Development-inspired Approach to Robot Hand-eye Coordination. International Journal of Advanced Robotic Systems. 2014;11. 15. https://doi.org/10.5772/57555

Author

Chao, Fei ; Lee, Mark Howard ; Jiang, Min ; Changle, Zhou . / An Infant Development-inspired Approach to Robot Hand-eye Coordination. In: International Journal of Advanced Robotic Systems. 2014 ; Vol. 11.

Bibtex - Download

@article{4c93a758791b4123ad9231b2182bceab,
title = "An Infant Development-inspired Approach to Robot Hand-eye Coordination",
abstract = "This paper presents a novel developmental learning approach for hand-eye coordination in an autonomous robotic system. Robotic hand-eye coordination plays an important role in dealing with real-time environments. Under the approach, infant developmental patterns are introduced to build our robot{\textquoteright}s learning system. The method works by first constructing a brain-like computational structure to control the robot, and then by using infant behavioural patterns to build a hand-eye coordination learning algorithm. This work is supported by an experimental evaluation, which shows that the control system is implemented simply, and that the learning approach provides fast and incremental learning of behavioural competence.",
keywords = "developmental robotics, robotic hand-eye coordination, infant developmental pattern, brain-like computational structure",
author = "Fei Chao and Lee, {Mark Howard} and Min Jiang and Zhou Changle",
note = "Chao, F., Lee, M. H., Jiang, M., Changle, Z. (2014). An Infant Development-inspired Approach to Robot Hand-eye Coordination. International Journal of Advanced Robotic Systems, 11, [15] Open access",
year = "2014",
doi = "10.5772/57555",
language = "English",
volume = "11",
journal = "International Journal of Advanced Robotic Systems",
issn = "1729-8806",
publisher = "Vienna University of Technology",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - An Infant Development-inspired Approach to Robot Hand-eye Coordination

AU - Chao, Fei

AU - Lee, Mark Howard

AU - Jiang, Min

AU - Changle, Zhou

N1 - Chao, F., Lee, M. H., Jiang, M., Changle, Z. (2014). An Infant Development-inspired Approach to Robot Hand-eye Coordination. International Journal of Advanced Robotic Systems, 11, [15] Open access

PY - 2014

Y1 - 2014

N2 - This paper presents a novel developmental learning approach for hand-eye coordination in an autonomous robotic system. Robotic hand-eye coordination plays an important role in dealing with real-time environments. Under the approach, infant developmental patterns are introduced to build our robot’s learning system. The method works by first constructing a brain-like computational structure to control the robot, and then by using infant behavioural patterns to build a hand-eye coordination learning algorithm. This work is supported by an experimental evaluation, which shows that the control system is implemented simply, and that the learning approach provides fast and incremental learning of behavioural competence.

AB - This paper presents a novel developmental learning approach for hand-eye coordination in an autonomous robotic system. Robotic hand-eye coordination plays an important role in dealing with real-time environments. Under the approach, infant developmental patterns are introduced to build our robot’s learning system. The method works by first constructing a brain-like computational structure to control the robot, and then by using infant behavioural patterns to build a hand-eye coordination learning algorithm. This work is supported by an experimental evaluation, which shows that the control system is implemented simply, and that the learning approach provides fast and incremental learning of behavioural competence.

KW - developmental robotics

KW - robotic hand-eye coordination

KW - infant developmental pattern

KW - brain-like computational structure

UR - http://hdl.handle.net/2160/13534

U2 - 10.5772/57555

DO - 10.5772/57555

M3 - Article

VL - 11

JO - International Journal of Advanced Robotic Systems

JF - International Journal of Advanced Robotic Systems

SN - 1729-8806

M1 - 15

ER -

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