Application of SVM in intelligent robot information acquisition and processing: a survey

Author

Lei, Jianhe ; Song, Quanjun ; Ma, Jinghua ; Qiu, LianKui ; Ge, Yunjian

Author_Institution

Inst. of Intelligent Machines, Chinese Acad. of Sci.,, Anhui, China

fYear

2005

fDate

27 June-3 July 2005

Abstract

SVM (support vector machines) is a new machine learning technique developed on statistical learning theory and has attracted more and more attentions. For machine learning tasks involving pattern classification, multi sensors information fusion, non-linear system control, etc, SVMs have become increasingly popular tools. In this paper, we survey the recent new development on the research and application of SVM in intelligent robot information acquisition and processing. Some important issues and the directions of further research are pointed out also.

Keywords

data acquisition; intelligent robots; learning (artificial intelligence); sensor fusion; statistical analysis; support vector machines; SVM; intelligent robot information acquisition; intelligent robot information processing; machine learning technique; multisensor information fusion; statistical learning theory; support vector machine; Intelligent robots; Intelligent sensors; Machine learning; Nonlinear control systems; Pattern classification; Sensor fusion; Sensor systems; Statistical learning; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2005 IEEE International Conference on

Print_ISBN

0-7803-9303-1

Type

conf

DOI

10.1109/ICIA.2005.1635077

Filename

1635077