Line Follower Obstacle Avoiding Robot

  • Unique Paper ID: 173538
  • PageNo: 527-530
  • Abstract:
  • The project demonstrates the development of an IoT-enhanced line follower robot, combining traditional line following capabilities with modern IoT technologies. The robot uses infrared sensors to detect line patterns and connects to the internet via Wi-Fi, enabling real-time monitoring, remote control, and data logging. The hardware architecture includes a microcontroller, infrared sensors, motor drivers, and wireless communication modules. The system shows potential applications in educational environments, industrial automation, warehouse logistics, and autonomous navigation systems.

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{173538,
        author = {Lakkakula Shravani and Dakamuri Sai Teja and Charabudla Siri Chandana Reddy and Desineni Vaishnavi Rao and DR. NARENDAR SINGH and DR. CHAUDHARI MANOJ KUMAR and AYESHA MISBA},
        title = {Line Follower Obstacle Avoiding Robot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {527-530},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173538},
        abstract = {The project demonstrates the development of an IoT-enhanced line follower robot, combining traditional line following capabilities with modern IoT technologies. The robot uses infrared sensors to detect line patterns and connects to the internet via Wi-Fi, enabling real-time monitoring, remote control, and data logging. The hardware architecture includes a microcontroller, infrared sensors, motor drivers, and wireless communication modules. The system shows potential applications in educational environments, industrial automation, warehouse logistics, and autonomous navigation systems.},
        keywords = {},
        month = {March},
        }

Cite This Article

Shravani, L., & Teja, D. S., & Reddy, C. S. C., & Rao, D. V., & SINGH, D. N., & KUMAR, D. C. M., & MISBA, A. (2025). Line Follower Obstacle Avoiding Robot. International Journal of Innovative Research in Technology (IJIRT), 11(10), 527–530.

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