Cleanobot: Design of an Autonomous Bot for Cleaning Surfaces Leveraging Deep Learning and IoT Frameworks

Abstract

The autonomous cleaning bot is a state-of-the-art robotic system that utilizes advanced cutting-edge technology to automate the cleaning process. This paper presents the design and implementation of an autonomous cleaning bot efficiently and effectively cleans a variety of indoor spaces, from homes to commercial buildings, using a combination of sensors, algorithms, and cleaning tools. The bot is capable of navigating through complex environments and detecting obstacles in its path, making it an ideal solution for areas that require regular cleaning. It also features a user-friendly interface that allows for easy customization of cleaning schedules and zones, as well as real-time monitoring of the bot's progress. The experimentation and results demonstrate the effectiveness of the system in autonomously cleaning and detecting objects. The bot successfully sends captured data to the cloud for analysis, and the results accurately indicate the type of object detected. With its rechargeable battery, modular design, and easy maintenance the autonomous cleaning bot is a cost-effective, efficient, and eco-friendly solution that enhances hygiene and safety standards while reducing the need for human labor. The system's design and implementation have been discussed in detail, including the integration of all hardware components. The proposed system has demonstrated its effectiveness in cleaning and detecting objects autonomously. The paper concludes with potential future improvements and research directions for the autonomous cleaning bot.