Robots That Use Language

Robots That Use Language
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DOI:
10.1146/annurev-control-101119-071628
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发表时间:
2020-05
期刊:
Annu. Rev. Control. Robotics Auton. Syst.
影响因子:
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通讯作者:
Stefanie Tellex;N. Gopalan;H. Kress-Gazit;Cynthia Matuszek
Stefanie Tellex;N. Gopalan;H. Kress-Gazit;Cynthia Matuszek
中科院分区:
其他
文献类型:
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作者:
Stefanie Tellex;N. Gopalan;H. Kress-Gazit;Cynthia Matuszek

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本文从机器人的角度调查了自然语言的使用。由于需要将语言扎根于噪音感知和身体行动,因此我们描述了机器人语言使用的中心方面,包括了解自然语言请求,使用语言来推动对物理世界的学习,并与人类的伴侣。
This article surveys the use of natural language in robotics from a robotics point of view. To use human language, robots must map words to aspects of the physical world, mediated by the robot's sensors and actuators. This problem differs from other natural language processing domains due to the need to ground the language to noisy percepts and physical actions. Here, we describe central aspects of language use by robots, including understanding natural language requests, using language to drive learning about the physical world, and engaging in collaborative dialogue with a human partner. We describe common approaches, roughly divided into learning methods, logic-based methods, and methods that focus on questions of human–robot interaction. Finally, we describe several application domains for language-using robots.