An Indoor Navigation Robot Using Augmented Reality

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.