基于文字分布式表示的共同语音手势的评估
Kosuke Sasaki1, Jumpei Nishikawa2, Junya Morita1,2,3
1Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan.
Frontiers in robotics and AI
|May 10, 2024
概括
研究人员开发了一种方法,通过在物理意义上将语言接地,为机器人提供可感知的意图. 这种方法将单词含义转化为机器人手势,增强人工智能代理人的象征性接地能力.
科学领域:
- 人工智能的人工智能
- 认知科学 认知科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 人工代理中的可感知意图与解决符号接地问题有关.
- 符号接地涉及赋予代理语言从物理世界带来的定量意义.
研究的目的:
- 开发一种方法来表征机器人手势,从文本数据中获得定量意义.
- 使人工智能通过接地语言和手势表现出可感知的意图.
主要方法:
- 使用来自大型文本库的文字分布式表示.
- 通过在矢量空间中定义轴,生成单词的"大小图像".
- 将大小图像转换为物理机器人手势 (运动和姿势).
主要成果:
- 人类对手势"自然"的评分部分验证了拟议的方法.
- 在机器人中展示了定量词语含义和感知到的沟通意图之间的联系.
结论:
- 拟议的方法提供了一条途径,以实现人工智能中类似人类的象征性接地.
- 具有增强的象征性接地和可感知的意图的先进文物是未来的可能性.
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