Volume: 2 Issue: 2
Year: 2025, Page: 21-26, Doi: https://doi.org/10.70968/ijeaca.v2i2.E109
Received: July 12, 2025 Accepted: Nov. 17, 2025 Published: Dec. 10, 2025
This paper presents the design and development of an intelligent robotic vacuum cleaner capable of autonomous navigation and efficient cleaning using embedded systems and machine learning techniques. The system is built around the ESP32-CAM module, which enables real-time image processing and object detection using TinyML. Ultrasonic sensors are used for obstacle detection and distance measurement, allowing the robot to navigate safely in indoor environments. The L298N motor driver controls the movement of DC motors and the vacuum mechanism for dust collection. The integration of Wi-Fi connectivity enables remote monitoring and control through IoT-based applications. The proposed system is cost-effective, energy-efficient, and suitable for applications in homes, offices, hospitals, and public spaces. Experimental results demonstrate improved navigation accuracy, reliable obstacle avoidance, and effective cleaning performance, making it a practical alternative to traditional cleaning methods.
Keywords: Intelligent Robotic Vacuum Cleaner
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© 2025 Gawade, et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Gawade P, Amande P, Jagdale T, Gawade P. Intelligent Robotic Vacuum Cleaner. 2025;2(2):21-26.
https://doi.org/10.70968/ijeaca.v2i2.E109