Training personal robots using natural language instruction

被引：53
|
作者：
Lauria, S [2 ]
Bugmann, G
Kyriacou, T
Bos, J
Klein, E
机构：
[1] Univ Edinburgh, Inst Commun & Collaborat Syst, Div Informat, Edinburgh EH8 9LW, Midlothian, Scotland
[2] Univ Plymouth, Sch Comp, Ctr Neural & Adapt Syst, Plymouth PL4 8AA, Devon, England
来源：
IEEE INTELLIGENT SYSTEMS | 2001年 / 16卷 / 05期
基金：
英国工程与自然科学研究理事会;
关键词：
D O I：
10.1109/5254.956080
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As domestic robots become pervasive, uninitiated users will need a way to instruct them to adapt to their particular needs. Such robots must execute reasonable complicated tasks which requires both adaptivity to a dynamic environment and the ability to generate plans. This paper discusses a practical system designed to use natural language to instruct a vision-based robot.
引用
收藏
页码：38 / 45
页数：8
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