SELVAKKUMAR K N VAIAPPURI FAKULTI PERLDANGAN DAN AGROTEKNOLOGI UNIVERSITI TEKNOLOGI MARA, CAWANGAN MELAKA, KAMPUS JASIN, 77300 MERLIMAU, MELAKA.
Conventional robotic vacuums often struggle with navigation inefficiencies, obstacle entrapment and limited adaptability to complex home environments, leading to incomplete cleaning and user frustration. These issues arise from reliance on basic sensors and rigid designs, which fail to handle dynamic obstacles or varied floor types effectively. The YENA Smart Vacuum addresses these challenges by integrating advanced sensor technologies and adaptive mechanical systems into a versatile, autonomous cleaning solution. Equipped with an AI vision system powered by a Raspberry Pi, infrared thermal sensors and LiDAR mapping, it accurately navigates intricate indoor spaces, detecting and avoiding obstacles, including moving pets or people. Motorized extendable legs enable seamless transitions between floor types, such as carpets and tiles, ensuring consistent cleaning performance. The modular battery system extends operational time, reducing downtime and enhancing efficiency. Its impacts include cleaner homes, reduced manual intervention, and enhanced convenience for busy households. Commercially, its modular design and affordability make it scalable for diverse markets, from compact apartments to large residences. With potential for future upgrades like smart home integration, the YENA Smart Vacuum offers a transformative, reliable solution for modern autonomous cleaning, redefining household maintenance with smarter, more adaptive technology.