HARI: A Low-Cost AI -Powered interactive Mobile Robot for Autonomous Campus Navigation & Assistance Using Raspberry Pi and Open CV

  • Unique Paper ID: 202968
  • Volume: 12
  • Issue: 12
  • PageNo: 8395-8402
  • Abstract:
  • In hospitals, transportation hubs, and educational campuses, service robotics has advanced from controlled industrial environments to public-facing human-centric applications. This work presents HARI (Human Assistance Robotic Interface), a multi-functional mobile robotic platform designed to assist navigation, interaction, and service delivery within university campuses. The system integrates facial recognition, touch-screen-based interaction, autonomous line-following navigation, and localized data services into a unified architecture. Computing is distributed between a Raspberry Pi 4B for high-level AI and GUI processing and an Arduino Mega 2560 for deterministic real-time motor and sensor control, communicating over USB Serial. The navigation subsystem employs PID-controlled lines following augmented with the LSRB decision algorithm and RFID-based positional checkpoints, achieving a lateral deviation below ±2 cm. Face recognition achieves 90–95% accuracy using a dib 128-dimension encoding pipeline. Delivery trials over 40 runs yielded a 95% task-completion rate. Fiber composite panels reduce chassis weight while maintaining structural integrity, keeping total fabrication cost low. Experimental results confirm stable, reliable performance across all core functions, establishing HARI as a scalable, modular, and economically viable solution for smart-campus deployment.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{202968,
        author = {Tanish D. Pawar and Aditya R. Mahajan and Pratham S. Kamble and Tanuja A. Gavade and Chinmayee C. Sinkar and Murad M. Kureshi and Shivtej P. Randive and Onkar C. Sutar},
        title = {HARI: A Low-Cost AI -Powered interactive Mobile Robot for Autonomous Campus Navigation & Assistance Using Raspberry Pi and Open CV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8395-8402},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202968},
        abstract = {In hospitals, transportation hubs, and educational campuses, service robotics has advanced from controlled industrial environments to public-facing human-centric applications. This work presents HARI (Human Assistance Robotic Interface), a multi-functional mobile robotic platform designed to assist navigation, interaction, and service delivery within university campuses. The system integrates facial recognition, touch-screen-based interaction, autonomous line-following navigation, and localized data services into a unified architecture. Computing is distributed between a Raspberry Pi 4B for high-level AI and GUI processing and an Arduino Mega 2560 for deterministic real-time motor and sensor control, communicating over USB Serial. The navigation subsystem employs PID-controlled lines following augmented with the LSRB decision algorithm and RFID-based positional checkpoints, achieving a lateral deviation below ±2 cm. Face recognition achieves 90–95% accuracy using a dib 128-dimension encoding pipeline. Delivery trials over 40 runs yielded a 95% task-completion rate. Fiber composite panels reduce chassis weight while maintaining structural integrity, keeping total fabrication cost low. Experimental results confirm stable, reliable performance across all core functions, establishing HARI as a scalable, modular, and economically viable solution for smart-campus deployment.},
        keywords = {Service robotics, human–robot interaction, embedded systems, face recognition, autonomous navigation, Raspberry Pi, Arduino, OpenCV, PyQt5, PID control, smart campus},
        month = {May},
        }

Cite This Article

Pawar, T. D., & Mahajan, A. R., & Kamble, P. S., & Gavade, T. A., & Sinkar, C. C., & Kureshi, M. M., & Randive, S. P., & Sutar, O. C. (2026). HARI: A Low-Cost AI -Powered interactive Mobile Robot for Autonomous Campus Navigation & Assistance Using Raspberry Pi and Open CV. International Journal of Innovative Research in Technology (IJIRT), 12(12), 8395–8402.

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