Mobile robot programming using natural language

被引：89
作者：
Lauria, S
Bugmann, G [1 ]
Kyriacou, T
Klein, E
机构：
[1] Univ Plymouth, Sch Comp, Ctr Neural & Adapt Syst, Plymouth PL4 8AA, Devon, England
[2] Univ Edinburgh, Div Informat, Inst Communicating & Collaborat Syst, Edinburgh EH8 9LW, Midlothian, Scotland
来源：
ROBOTICS AND AUTONOMOUS SYSTEMS | 2002年 / 38卷 / 3-4期
基金：
英国工程与自然科学研究理事会;
关键词：
natural languages; human-robot dialogue; mobile robots learning; corpus collection; route description;
D O I：
10.1016/S0921-8890(02)00166-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
How will naive users program domestic robots? This paper describes the design of a practical system that uses natural language to teach a vision-based robot how to navigate in a miniature town. To enable unconstrained speech the robot is provided with a set of primitive procedures derived from a corpus of route instructions. When the user refers to a route that is not known to the robot, the system will learn it by combining primitives as instructed by the user. This paper describes the components of the Instruction-Based Learning architecture and discusses issues of knowledge representation, the selection of primitives and the conversion of natural language into robot-understandable procedures. (C) 2002 Published by Elsevier Science B.V.
引用
收藏
页码：171 / 181
页数：11
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