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.
@article{206514,
author = {NavinKumar M and Dr. S. Prabu and Nitheshkumar R and Paranitharan K},
title = {Intelligent RFID-Based Autonomous Indoor Logistics Robot Using Decision Tree Path Navigation System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {2},
pages = {2228-2235},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=206514},
abstract = {The proposed project, “Intelligent RFID-Based Autonomous Indoor Logistics Robot Using Decision Tree Path Navigation System” is designed to provide an efficient, low-cost, and intelligent solution for indoor material transportation in environments such as restaurants, hospitals, warehouses, and industrial facilities. Traditional manual logistics systems often suffer from delays, human errors, fatigue, and reduced operational efficiency, especially in high-demand conditions. To overcome these limitations, the proposed system utilizes an autonomous mobile robot capable of navigating indoor environments without human intervention. Unlike conventional robotic systems that depend on expensive technologies such as LiDAR, camera vision, and SLAM algorithms, this project adopts RFID-based localization to reduce system complexity and cost. RFID tags are placed at predefined checkpoints, allowing the robot to identify its position and follow a designated route accurately. A Decision Tree algorithm is implemented for intelligent path selection and navigation control, enabling the robot to make efficient movement decisions at junctions and checkpoints. The robot is controlled using an ESP32 microcontroller integrated with RFID readers, motor drivers, and obstacle detection sensors, ensuring reliable navigation, reduced power consumption, improved efficiency, and cost-effective indoor logistics automation.},
keywords = {Autonomous Robot, RFID Technology, Decision Tree Algorithm, Indoor Logistics, ESP32 Microcontroller, Path Planning, Navigation Control, Autonomous Mobile Robot, Obstacle Detection, RFID Localization, Smart Transportation, Warehouse Automation, Intelligent Navigation, Cost-Effective Automation.},
month = {July},
}
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