Developmental Learning for Autonomous Robots

Qinggang Meng; Mark Lee; Fei Chao

doi:10.1016/j.robot.2007.05.002

Developmental Learning for Autonomous Robots

Qinggang Meng, Mark Lee, Fei Chao

Department of Computer Science

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Abstract

Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.

Original language	English
Pages (from-to)	750-759
Number of pages	10
Journal	Robotics and Autonomous Systems
Volume	55
Issue number	9
DOIs	https://doi.org/10.1016/j.robot.2007.05.002
Publication status	Published - 30 Sept 2007

Keywords

Sensory-motor coordination
Developmental robotics
Early infant learning

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http://hdl.handle.net/2160/449

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title = "Developmental Learning for Autonomous Robots",

abstract = "Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.",

keywords = "Sensory-motor coordination, Developmental robotics, Early infant learning",

author = "Qinggang Meng and Mark Lee and Fei Chao",

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AU - Chao, Fei

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N2 - Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.

AB - Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.

KW - Sensory-motor coordination

KW - Developmental robotics

KW - Early infant learning

U2 - 10.1016/j.robot.2007.05.002

DO - 10.1016/j.robot.2007.05.002

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JO - Robotics and Autonomous Systems

JF - Robotics and Autonomous Systems

IS - 9

ER -

Developmental Learning for Autonomous Robots

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