Arduino-Powered Smart Vacuum Cleaner: A Low-Cost and Efficient Cleaning Solution

This paper discusses the proposed methodology for developing an autonomous vacuum cleaning robot powered by an Arduino microcontroller. The robot will be designed to navigate autonomously, detect obstacles, and perform efficient cleaning using a vacuum suction system. Various sensors, including ultrasonic sensors, and motor drivers, will be integrated for smooth operation. The proposed system will offer a cost-effective, intelligent, and efficient alternative to traditional cleaning methods. The increasing demand for smart home automation will lead to significant advancements in robotic cleaning technology. However, affordability will remain a major challenge in widespread adoption. This research will aim to bridge the gap between cost and efficiency in robotic cleaning technology, ensuring affordability while maintaining effective performance. The robot will integrate obstacle detection, power management, and an optimized cleaning mechanism. The results will indicate that the Arduino-based vacuum cleaner will be a viable alternative, offering high efficiency at a reduced cost. Keywords: Obstacle Detection, Autonomous Navigation, Smart Cleaning, Low-Cost Home Automation

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-24
DOI
https://doi.org/10.55041/ijsrem41815
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Arduino-Powered Smart Vacuum Cleaner: A Low-Cost and Efficient Cleaning Solution

Pallavi M. Mankar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
article

Arduino-Powered Smart Vacuum Cleaner: A Low-Cost and Efficient Cleaning Solution

Pallavi M. Mankar
article en

Abstract

This paper discusses the proposed methodology for developing an autonomous vacuum cleaning robot powered by an Arduino microcontroller. The robot will be designed to navigate autonomously, detect obstacles, and perform efficient cleaning using a vacuum suction system. Various sensors, including ultrasonic sensors, and motor drivers, will be integrated for smooth operation. The proposed system will offer a cost-effective, intelligent, and efficient alternative to traditional cleaning methods. The increasing demand for smart home automation will lead to significant advancements in robotic cleaning technology. However, affordability will remain a major challenge in widespread adoption. This research will aim to bridge the gap between cost and efficiency in robotic cleaning technology, ensuring affordability while maintaining effective performance. The robot will integrate obstacle detection, power management, and an optimized cleaning mechanism. The results will indicate that the Arduino-based vacuum cleaner will be a viable alternative, offering high efficiency at a reduced cost. Keywords: Obstacle Detection, Autonomous Navigation, Smart Cleaning, Low-Cost Home Automation

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 97%
IoT-based Smart Home Systems
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