A Machine Learning-Based Household Robot

Household robotics has become increasingly important in our daily lives, especially for busy individuals like working mothers, office workers, and pet owners who often struggle to maintain a clean and tidy home due to the fast-paced nature of modern living. To address this issue, a mop-cleaning robot that uses advanced machine-learning technology was developed. Our latest research describes the use of groundbreaking technology that can distinguish between two types of stains: heavy and light. We conducted thorough experiments to train the robot to accurately identify and differentiate between these two types of stains, classify them, and thus achieve an impressive overall accuracy rate of 95%. The mop-cleaning robot is also connected through the Internet of Things (IoT) via an application that can be used on both Android and iOS. The robot is designed to avoid obstacles by using an ultrasonic sensor to detect its surroundings. The successful results demonstrate the significant potential of this technology in improving the efficiency and accuracy of stain detection and removal in various settings.