Robots That Use Language

被引:131
作者
Tellex, Stefanie [1 ]
Gopalan, Nakul [2 ]
Kress-Gazit, Hadas [3 ]
Matuszek, Cynthia [4 ]
机构
[1] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
[2] Georgia Inst Technol, Sch Interact Comp, Atlanta, GA 30332 USA
[3] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
[4] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA
来源
ANNUAL REVIEW OF CONTROL, ROBOTICS, AND AUTONOMOUS SYSTEMS, VOL 3, 2020 | 2020年 / 3卷
关键词
robots; language; grounding; learning; logic; dialogue; GENERATION; BEHAVIORS; CHILDREN; FEEDBACK;
D O I
10.1146/annurev-control-101119-071628
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:25 / 55
页数:31
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