Modeling a Gesture Sensing Robot Using Arduino

• Author(s): Richard Ikechukwu Success; Comfort C. Olebara
• Paper ID: 1710076
• Page: 1308-1313
• Published Date: 31-08-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 2 August-2025

Abstract

This study presents the modeling of an affordable gesture sensing robot using Arduino microcontrollers to enable intuitive human-robot interaction. The research addresses the limitations of traditional robotic control systems by introducing a cost-effective, real-time gesture recognition system that translates hand movements into robotic actions with over 90% accuracy and minimal latency. The methodology integrates Structured Systems Analysis and Design Methodology (SSADM), iterative prototyping, and experimental validation. Arduino Uno and Nano boards, coupled with MPU6050 sensors, facilitate gesture detection. Signal processing algorithms were programmed in C++ on Arduino IDE. Performance results demonstrate system responsiveness within 100ms and operational wireless control over a 10?15 meter range, making it a viable educational and assistive robotics platform.

Keywords

Arduino, Gesture Recognition, Human-Robot Interaction, MPU6050.

Citations

IRE Journals:
Richard Ikechukwu Success, Comfort C. Olebara "Modeling a Gesture Sensing Robot Using Arduino" Iconic Research And Engineering Journals Volume 9 Issue 2 2025 Page 1308-1313

IEEE:
Richard Ikechukwu Success, Comfort C. Olebara "Modeling a Gesture Sensing Robot Using Arduino" Iconic Research And Engineering Journals, 9(2)