The Practice of Cloud-based Navigation System for Indoor Robot

Abstract

The indoor positioning system has seen an explosion of advances in recent years, particularly in demands for location-based services. One such important location-based service is indoor navigation for robots based on an indoor positioning system, which is used to guide blind people and locate patients in a hospital. However, most indoor navigation systems are based on location information depended on respect signal from at least three reference access points. In this paper, we design a cloud-based navigation system for indoor robot through a Wi-Fi located at the one-hop wireless network. We compare our proposal and baseline techniques in the real-world indoor environment. The practical results show that the robot using the fixed edge cloud can move in accuracy achieved position and efficiently reach to the given destination position. Moreover, an indoor robot using a single access point and cloud service is more suitable and straightforward than using existing models.