An Indoor Navigation Robot Using Augmented Reality

被引:0
作者
Corotan, Austin [1 ]
Irgen-Gioro, Jianna Jian Zhang [1 ]
机构
[1] Western Washington Univ, Coll Sci & Engn, Bellingham, WA 98225 USA
来源
CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2019年
关键词
augmented reality; in-door navigation robot; Q-learning; ARcore; Arduino; Google Pixel 2 smart phone; JAQL;
D O I
10.1109/iccar.2019.8813348
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we address the issue of autonomous robotic navigation in an indoor environment. An Augmented Reality (AR) based navigation system is created using the JAQL robot and an Google Pixel 2 Android smart phone. In developing this system, we aim to investigate the current capability of augmented reality as an all-in-one solution to indoor routing, localization, and object detection. Using Google's ARcore, we have developed a mobile application, which was used as both the sensor and the controller for the system. We highlight the features of ARcore and how they were applied to each of our navigation tasks. We evaluate the effectiveness of our system and present results from a set of experiments in a real environment under varying conditions. We conclude by discussing the strengths and limitations of our system and how we can make improvements in the future.
引用
收藏
页码:111 / 116
页数:6
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