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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47590

Adaptive AGV Navigation Using Edge-Driven in Small-Scale Industries

Stream/Area:

-

Subject:

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Paper ID:

IJSREM47590

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47590

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

SK

Sivaprakash K

YV

Yuga Varshan

SKLS

Sujith Krishnaa L S

MV

Mourish V

PR

Pavithra R

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Abstract

The Adaptive AGV Navigation System is a smart material handling solution designed to automate and optimize operations in small-scale industries. It employs a PIC16F877A microcontroller to control and coordinate various components of the Automated Guided Vehicle (AGV), including DC motors, IR sensors, and RFID-based modular instruction cards. These instruction cards, read by an EM-18 RFID reader, provide real-time task and navigation commands, allowing the AGV to adapt its path dynamically based on operational needs.To ensure accurate control and responsiveness, the system integrates edge computing modules, which locally process sensor data and navigation instructions, significantly reducing latency. The AGV structure is supported by a durable robot chassis, powered by a 5V battery supply, The hardware configuration, supported by modular and reprogrammable components like the motor driver module, allows easy system expansion and reconfiguration without extensive rewiring or infrastructure changes. This makes the solution ideal for flexible production lines, warehouse logistics, and assemblyautomation in small to medium-sized enterprises. By combining intelligent navigation, modular design, and real-time edge processing, this system offers a cost-effective and scalable AGV platform that enhances productivity, reduces manual labor, and supports the transition toward smart industrial automation.

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Cite This Article

Sivaprakash K, Yuga Varshan, Sujith Krishnaa L S, Mourish V, Pavithra R, "Adaptive AGV Navigation Using Edge-Driven in Small-Scale Industries," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47590

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Publication Date

11/4/2025

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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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