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2010 | OriginalPaper | Buchkapitel

2. Robot Competence Development by Constructive Learning

verfasst von: Q. Meng, M. H. Lee, C. J. Hinde

Erschienen in: Advances in Machine Learning and Data Analysis

Verlag: Springer Netherlands

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Abstract

This paper presents a constructive learning approach for developing sensor-motor mapping in autonomous systems. The system’s adaptation to environment changes is discussed and three methods are proposed to deal with long term and short term changes. The proposed constructive learning allows autonomous systems to develop network topology and adjust network parameters. The approach is supported by findings from psychology and neuroscience especially during infants cognitive development at early stages. A growing radial basis function network is introduced as a computational substrate for sensory-motor mapping learning. Experiments are conducted on a robot eye/hand coordination testbed and results show the incremental development of sensory-motor mapping and its adaptation to changes such as in tool-use.

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Metadaten
Titel
Robot Competence Development by Constructive Learning
verfasst von
Q. Meng
M. H. Lee
C. J. Hinde
Copyright-Jahr
2010
Verlag
Springer Netherlands
DOI
https://doi.org/10.1007/978-90-481-3177-8_2

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