International Journal For Multidisciplinary Research

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AI Powered Cleaning Robot

Author(s) Tigulla Hruthika Goud, Bodula Sujitha, Kanithi Ravi Kishore, M. Rudra Kumar
Country India
Abstract Commercial automatic cleaning robots for homes are quite common these days. However, a robot that can clean and mop while being autonomous and remotely controlled is quite expensive. Recently, there has been a growing interest in using artificial intelligence (AI) and the Internet of Things (IoT) to improve various aspects of daily life. One such area is home computerization, particularly in the realm of cleaning tasks. This task proposes the development of a simulated intelligence-based cleaning robot equipped with ultrasonic sensors and controlled by NodeMCU, an IoT platform, and AI calculations. The robot navigates indoor spaces autonomously, detects harmful gases with gas sensors, and cleans using AI and machine learning algorithms. The NodeMCU IoT platform allows users to remotely monitor air quality and control the robot's operations. The combination of gas sensing, AI, machine learning, and Internet of Things capabilities provides a proactive solution for indoor air pollution management, resulting in healthier and safer indoor environments. Additionally, the integration with cloud platforms such as ThingSpeak allows for remote monitoring and predictive maintenance. Following the implementation and testing of this prototype, it was observed that the robot works as programmed, and is equipped with the majority of the functionalities of a household commercial state-of-the-art cleaning robot.
Keywords NodeMCU, Automatic Cleaning Robot, Air Pollution Management
Field Computer > Automation / Robotics
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-14
Cite This AI Powered Cleaning Robot - Tigulla Hruthika Goud, Bodula Sujitha, Kanithi Ravi Kishore, M. Rudra Kumar - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20282
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20282
Short DOI https://doi.org/gtt8s2
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