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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Badri Mohapatra
AISSMS IOIT, INDIA
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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An Autonomous AI-Vision Robotic System with Mecanum Wheels for Real-Time Object Sorting and Navigation Badri Mohapatra; Snehal Nalge; Tejas Sonale
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.15961

Abstract

This study presents an autonomous robotic system combining AI vision, a Mecanum wheel-based mobile platform, and a servo-driven robotic arm for real-time object sorting and navigation in dynamic environments. The system employs an Arduino-based control framework with multi-sensor fusion (ultrasonic, infrared, and Bluetooth) to achieve obstacle avoidance, line following, and voice-command responsiveness. A novel color-based object classification algorithm is implemented, achieving a sorting accuracy of 94.2% for standardized packages in experimental trials. The Mecanum wheels enable omnidirectional mobility, reducing navigation time by 38% compared to conventional differential drives in constrained spaces. Experimental results demonstrate the system’s efficacy in smart manufacturing and automated logistics, offering a flexible, low-cost framework for scalable robotics
Co-Authors Snehal Nalge Tejas Sonale