IoT 20(21): e3

Research Article

QR Code based Indoor Navigation system for Attender Robot

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  • @ARTICLE{10.4108/eai.13-7-2018.165519,
        author={A. Sneha and V. Sai Lakshmi Teja and Tusar Kanti Mishra and Kuppili N. Satya Chitra},
        title={QR Code based Indoor Navigation system for Attender Robot},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={6},
        number={21},
        publisher={EAI},
        journal_a={IOT},
        year={2020},
        month={4},
        keywords={Localization, Navigation, QR Code, Raspberry Pi, Hologram cellular USB modem},
        doi={10.4108/eai.13-7-2018.165519}
    }
    
  • A. Sneha
    V. Sai Lakshmi Teja
    Tusar Kanti Mishra
    Kuppili N. Satya Chitra
    Year: 2020
    QR Code based Indoor Navigation system for Attender Robot
    IOT
    EAI
    DOI: 10.4108/eai.13-7-2018.165519
A. Sneha1, V. Sai Lakshmi Teja1,*, Tusar Kanti Mishra1, Kuppili N. Satya Chitra1
  • 1: Department of Computer Science and Engineering, G. V. P College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
*Contact email: lakshmiteja9@gmail.com

Abstract

In this paper, we elicit a cost-effective design of a robot that is used to perform the tasks of the attender, a wheeled mobile robot. The two main challenging aspects of mobile robotics are to achieve localization and navigation. Localization determines the location of the robot with respect to its environment. Navigation is the movement of the robot from one location to the other. Here, the unique design and representation of the QR code helped us to localize and navigate the robot. A raspberry pi mounted with a camera is used to interface with the robot. The triangulation method is used to localize the robot. Dijkstra’s algorithm is used to compute the shortest path from source to destination. The system is monitored tested based on the feedback system established by the Hologram cellular USB modem. Experimental results show that this approach has good feasibility and effectiveness. The robot navigates through the shortest path, performs specified tasks, and returns to its source.