Smart Sweeping Robot
Robotic vacuum cleaners can move around on floors, detect obstacles and surface changes, and intelligently return to their charging stations to recharge. These devices require quiet operation and efficient vacuuming capabilities and come equipped with sensors and sufficient computing power to handle complex algorithms and intelligent decision-making. With the continuous advancement of Artificial Intelligence (AI) technology, robotic vacuum cleaners are becoming increasingly intelligent.
AI techniques can be applied to the control systems of robotic vacuum cleaners to enable smarter cleaning and navigation. Robotic vacuum cleaners can automatically learn the home layout and obstacle locations through machine learning algorithms, thereby planning the most effective cleaning paths. They can also identify different floor types and stains and automatically adjust the cleaning mode and suction power to ensure thorough cleaning.
Nuvoton provides a wide range of applications, including MCUs, MPUs, sensors, and technologies supporting TinyML (Tiny Machine Learning) for building the control systems of intelligent robotic vacuum cleaners. By incorporating embedded AI, robotic vacuum cleaners can more intelligently perceive and respond to challenges in different environments, providing users a more efficient and convenient cleaning experience. In summary, robotic vacuum cleaners possess powerful cleaning capabilities and achieve intelligent navigation and cleaning through AI technology, offering users a more efficient and intelligent home cleaning applications. Nuvoton applications provide reliable support for developing robotic vacuum cleaners, driving the continuous advancement of smart home technologies.
Applicable development board: NuMaker-HMI-MA35D1-S1, NuMaker-HMI-M467, NuMaker-IoT-M467