INTELLIGENT CLEANING ROBOT USING ARTIFICIAL INTELLIGENCE TECHNOLOGY

Authors

  • Ike Innocent, Salla Nelson Stanley, Muhammed Abubakar Umar Author

Keywords:

Raspberry Pi 3 Model B, Robonomics, Ultrasonic Sensors Motor Driver Module-L298N, Infrared Obstacle Sensors version 2.0, Artificial Intelligence (AI)

Abstract

Robots are increasingly being used to meet various human needs in daily life. With the rise of smart homes, household automation is providing greater convenience and reducing time spent on chores. Although robot vacuums have simplified home cleaning, they tend to be noisy and bulky, limiting their suitability for daily use. This research aims to design an Artificial Intelligence-powered robot cleaner that offers more effective results compared to human workers, reduces the workload of working professionals, minimises water usage in response to scarcity, and alleviates the stress on homemakers. The robot integrates vacuuming and cleaning technology, controlled by an Arduino Mega microcontroller. It features a retractable dustbin with an integrated cooling fan and two sweepers powered by 3V DC motors. Navigation is facilitated by two motor-controlled rear wheels and a front caster wheel that also assists in turning. Four ultrasonic sensors, positioned 90° apart, detect obstacles and guide the robot’s movement. The robot is powered by three 28.8V DC rechargeable batteries, which can be recharged using an embedded AC-DC adapter. With a compact design measuring 12 cm in width and 9 cm in height, this lightweight robot (weighing approximately 1.5 kg) easily maneuvers through its environment. It includes a lightweight battery, a cardboard-based dustbin, and a small blower, with a total current consumption of approximately 1102 mA. Once fully charged, the 2200 mAh battery allows the robot to operate continuously for over two hours, cleaning floors both effectively and efficiently. Future development should focus on optimising Artificial Intelligence algorithms for faster and more contextaware decision-making.

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Published

2025-12-04