Mobile robot programming using natural language
Mobile robot programming using natural language
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DOI：
10.1016/s0921-8890(02)00166-5
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发表时间：
2002-03
期刊：
影响因子：
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通讯作者：
S. Lauria;G. Bugmann;T. Kyriacou;Ewan Klein
中科院分区：
文献类型：
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作者：
S. Lauria;G. Bugmann;T. Kyriacou;Ewan Klein
新手用户将如何对家用机器人进行编程？本文描述了一个实用系统的设计，该系统使用自然语言来教导基于视觉的机器人如何在微型城镇中导航。为了实现不受约束的语音，机器人配备了一组源自路线指令语料库的原始程序。当用户提到机器人不知道的路线时，系统将按照用户的指示通过组合基元来学习它。本文描述了基于指令的学习架构的组成部分，并讨论了知识表示、原语的选择以及将自然语言转换为机器人可理解的程序的问题。
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.