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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60991

IoT-Based Smart Warehouse Transport Robot Using ESP32 and Mecanum Wheels

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60991

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60991

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

G

G.Ramesh

M

M.Rithvika

NS

N.Hema Sri

P

P.Jahnavi

V

V.Anusha

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Abstract

The increasing integration of automation in warehouse operations has created a demand for intelligent material handling systems capable of improving efficiency and reducing human intervention. Conventional transportation methods depend largely on manual labor, leading to delays, increased operational costs, and susceptibility to errors. This paper presents the design and implementation of an Internet of Things (IoT)-based smart warehouse transport robot utilizing an ESP32 microcontroller and a Mecanum wheel drive system. The ESP32 serves as the central control unit, enabling wireless communication and real-time monitoring through a web-based interface. The Mecanum wheel configuration provides omnidirectional mobility, allowing the robot to navigate confined spaces with high precision. The system integrates motor drivers, sensors, and IoT protocols to achieve efficient remote operation and control. Experimental evaluation demonstrates that the proposed system improves maneuverability, reduces manual workload, and enhances operational efficiency in warehouse environments. The developed prototype offers a scalable and cost-effective solution for smart logistics and automated material transport.

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Cite This Article

G.Ramesh, M.Rithvika, N.Hema Sri, P.Jahnavi, V.Anusha, "IoT-Based Smart Warehouse Transport Robot Using ESP32 and Mecanum Wheels," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60991

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Publication Date

4/21/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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