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
收藏
页码：37 / 45
页数：9
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