Document Transporting System Using Intelligent Robot

Authors

  • Akhil C S KTU Author
  • Anjaly M A KTU Author
  • Fida Abbas KTU Author
  • Jaseel Ali KTU Author
  • Anitha Mathew Author

Keywords:

ESP32 microcontroller, Ultrasonic sensors, Obstacle detection, Fingerprint sensor, Solenoid lock, Smart campus, Secure delivery system

Abstract

The Document Transporting System with Intelligent Robot is an autonomous indoor delivery platform designed to streamline the transfer of documents and stationery within institutional and office environments. The system is built around an ESP32 microcontroller, leveraging its dual-core processing capability, integrated Wi-Fi/Bluetooth modules, and low-power operation for real-time navigation, communication, and system control. Obstacle detection and avoidance are achieved using an array of HC-SR04 ultrasonic sensors, while differential drive locomotion is implemented through high-torque DC motors operated via an L298N motor driver, enabling precise maneuverability in narrow corridors. To ensure secure access, the robot incorporates a capacitive fingerprint sensor for biometric authentication and a solenoid-actuated locking mechanism to safeguard the document compartment. User interaction is facilitated through a voice-recognition module, an LCD/OLED display for status feedback, and GSM-based SMS notifications for delivery updates. A battery management subsystem, powered by a high-capacity rechargeable Li-ion pack with an onboard charging and protection circuit, supports long-duration operation and real-time battery-level monitoring. The integration of embedded control, sensor fusion, biometric security, and wireless communication enables fully automated document delivery with minimal human intervention. This system significantly reduces manual workload, enhances security and traceability, and demonstrates a scalable approach to smart-campus and smart-office automation.

Author Biographies

  • Akhil C S, KTU

    BTECH PURSUING EEE STUDENT

     

  • Fida Abbas, KTU

    BTECH PURSUING EEE STUDENT

     

  • Jaseel Ali, KTU

    BTECH PURSUING EEE STUDENT

     

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Published

2026-02-09

How to Cite

Document Transporting System Using Intelligent Robot. (2026). IES International Journal of Multidisciplinary Engineering Research, 2(1), 151-157. https://www.iescepublication.com/index.php/iesijmer/article/view/115

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