Human-Augmented Robotic Intelligence (HARI) for Human-Robot Interaction

被引:1
作者
Mruthyunjaya, Vishwas [1 ]
Jankowski, Charles [2 ]
机构
[1] Aisera, Palo Alto, CA USA
[2] Cloudminds Technol, Santa Clara, CA 95054 USA
来源
PROCEEDINGS OF THE FUTURE TECHNOLOGIES CONFERENCE (FTC) 2019, VOL 2 | 2020年 / 1070卷
关键词
Artificial intelligence; Human-robot interaction; Cloud robot; Human-augmented robotic intelligence; Human-in-the-loop; Robot control unit; Virtual Backbone Network; Social robot; Spoken dialogue systems; Automatic speech; Natural language processing;
D O I
10.1007/978-3-030-32523-7_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper provides a system design framework for a human-robot interaction system. The design introduces a human-augmented robotic intelligence embedded in a human-robot interaction system. The motivations behind the system design are spoken dialogue systems, Wizard-of-OZ framework, and existing HRI designs for socially intelligent robots. In this work, we explain how artificial intelligence of human-robot interaction system is enhanced by human intelligence through collaboration. The collaborative artificial intelligence enables the system to learn from demonstration. The main objective and the gradual progression from this paper is to build an iterative interactive system that is capable of achieving human-robot interaction similar to the nuances of human-human interaction.
引用
收藏
页码:204 / 223
页数:20
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