人机交互与最小跨越自然语言模板的自主和远程操作控制

J. Zelek
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引用次数: 20

摘要

机器人和人类之间的互动应该是在一个人类操作员可以接近和自然的水平上。提出了一种用于指定2D移动机器人导航任务命令的词典模板。语言词典是人类2D导航任务的最小跨越语义集。任务命令词典由动词、目的地、方向和速度组成。目的地是由几何模型定义的环境中的位置,该几何模型位于全局参考笛卡尔坐标空间中的特定空间位置。任务命令词典已被用作指定SPOTT移动机器人控制体系结构的命令的语言模板。模板并不是机器人唯一能识别的命令,而是一种映射到规划和控制结构上的内部语言。语音识别系统将语音命令映射到提议的内部自然语言命令模板上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-robot interaction with minimal spanning natural language template for autonomous and tele-operated control
Interaction between robots and humans should be at a level which is accessible and natural for human operators. A lexicon template is proposed for specifying commands for 2D mobile robot navigational tasks. The language lexicon is a minimal spanning semantic set for human 2D navigational tasks. The task command lexicon consists of a verb, destination, direction and a speed. The destination is a location in the environment defined by a geometric model positioned at a particular spatial location in a globally-referenced Cartesian coordinate space. The task command lexicon has been used as a language template for specifying commands for the SPOTT mobile robot control architecture. It is not the intent that the template serve as the only commands that the robot recognizes, but rather as an internal language that gets mapped onto planning and control constructs. A speech recognition system maps spoken commands onto the proposed internal natural language command template.
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