DEVELOPMENT OF AN INTEGRATED ROBOTIC VACUUM CLEANER AND AIR PURIFIER WITH WIFI CONNECTIVITY AND MULTI-MODE CONTROL USING ARDUINO UNO

Abstract

This study focuses on the development of an autonomous Internet of Things (IoT)-based robotic vacuum cleaner that integrates an air purifier and features Wi-Fi connectivity with multi-mode control. The system is designed to navigate autonomously, avoid obstacles, and optimize its cleaning path. To enhance power efficiency, an optical dust sensor was incorporated, enabling the vacuum to operate only when dust is detected. This project addresses the growing demand for affordable and automated cleaning solutions that reduce human labor while maintaining high cleaning efficiency, positioning itself as a practical alternative to commercially available robotic cleaning systems. The study utilized the Experimental Prototyping Methodology, emphasizing design thinking and iterative development. The prototype was conceptualized using 2D and 3D designs in Blender and electrical schematics were created in Proteus. The software source code was implemented using Arduino IDE in C++, while a dedicated control application was developed via MIT App Inventor. Data collection was conducted through purposive sampling involving 50 homeowners in Barangay Poblacion, San Jose del Monte, Bulacan. A 4-point Likert scale survey was used, and the data were analyzed using descriptive statistics. The functional testing of sensors and components confirmed the effectiveness of the integrated design. The robotic system successfully performed autonomous cleaning tasks, demonstrated reliable obstacle detection, and executed air purification functions. Test results and survey responses indicated that the system was efficient in dust collection and operational performance. Respondents rated the system positively in terms of functionality, efficiency, and ease of use. The study concludes that the integrated robotic vacuum cleaner and air purifier met its objectives, with the optical dust sensor contributing to enhanced power efficiency. The successful use of Arduino Uno and ESP32 microcontrollers validated their effectiveness in powering a multifunctional cleaning system. The findings suggest that the prototype offers a promising and innovative solution for dust and waste management, particularly in residential environments. Future improvements may focus on scaling features, refining sensor accuracy, and enhancing application interfaces for broader usability.