Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The paper introduces an optimized omnidirectional robotic system using a 4-wheel Mecanum drive powered by a Raspberry Pi 4, significantly enhancing maneuverability and spatial efficiency is better over traditional two-wheel drives. It employs a localized SSD MobileNet model for object detection, achieving a faster inference speed compared to YOLOv3 on similar hardware. The system is highly cost-effective which is a big reduction compared to commercial alternatives. It features a Flask-based asynchronous web server with command latencies very less. The study mathematically validates the superiority of lightweight neural networks and holonomic kinematics on resource-limited edge devices.
"Design and Development of Unmanned Ground Vehicle for Object Detection Using Deep Learning Algorithm", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b437-b441, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605151.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator