USING MACHINE LEARNING TECHNIQUES IN REAL-WORLD MOBILE ROBOTS

被引：2

作者：

KAISER, M

KLINGSPOR, V

MILLAN, JDR

ACCAME, M

WALLNER, F

DILLMANN, R

机构：

[1] UNIV DORTMUND,FACHBEREICH INFORMAT,LEHRSTUHL 8,D-44221 DORTMUND,GERMANY

[2] COMMISS EUROPEAN COMMUNITIES,JOINT RES CTR,INST SYST ENGN & INFORMAT,I-21020 ISPRA,ITALY

来源：

IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1995年 / 10卷 / 02期

关键词：

D O I：

10.1109/64.395353

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

APPLYING MACHINE LEARNING TECHNIQUES CAN HELP MOBILE ROBOTS MEET THE NEED FOR INCREASED SAFETY AND ADAPTIVITY THAT REAL-WORLD OPERATION DEMANDS. THE TECHNIQUES ALSO FACILITATE ROBOT-TO-USER COMMUNICATION.

引用

页码：37 / 45

页数：9

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