Development of an Autonomous Floor Cleaning Robot with Advanced Navigation Algorithm

Cleaning is essential, but sometimes this work may become tedious. In recent years, commercial automatic cleaning robots have been widely used. However, most of the robots are expensive or have problems covering the total cleaning area due to geometric limitations. In this paper, the development of SweepMate, an autonomous floor-cleaning robot, is presented that can effectively mop indoor spaces while navigating and avoiding obstacles. A unique navigation algorithm developed by a combination of sonar sensors, a gyro sensor, and servo motors ensures full room coverage with minimal human intervention. The implementation of a corner detection and obstacle avoidance algorithm intelligently identifies room boundaries and optimizes the cleaning path in real-time. When this prototype was put into execution and examined, it was found to function as expected and to have all the features of a cleaning robot for the household and industrial spaces. The design emphasizes energy efficiency, user-friendliness, and scalability.