Recently, Xiaomi officially launched its smart home future exploration solution, "Miloco" (full name Xiaomi Local Copilot), becoming the first in the industry to achieve a whole-house smart system driven by a large-scale edge model. This solution is seen as a concrete practice of the concept that "intelligence will eventually move from language to the physical world," marking a leap in AI capabilities from dialogue interaction to three-dimensional physical space perception and proactive execution.
Traditional smart homes rely on user-preset rules or manual operation, while Miloco integrates voice, vision, and IoT devices to build a unified real-time decision-making network, giving the home environment "eyes, brain, and hands and feet." For example, if a user asks, "Where is the cat?", the system can link cameras to locate the cat in seconds and automatically use a gimbal to follow it; if a user says, "It's so hot today," the system will integrate weather and indoor temperature and humidity data to automatically adjust the air conditioner and close the curtains, all without human intervention.
According to reports, Miloco currently focuses on multimodal audio and video sensing and will further integrate millimeter-wave radar, chemical sensors, and ToF cameras in the future to recognize physical signals such as breathing rhythms, air quality, and furniture materials. This data will form a closed loop within the cloud-edge-device architecture, gradually building a truly "digital twin home."
Industry insiders emphasize that AI investment should not be measured solely by the scale of funding; the key lies in whether it can form a sustainable business loop. Rather than a race to the top, it's more important to ensure that every motor, every unit of electricity, and every frame of video can understand user intent and proactively provide services. This is why Xiaomi chose to start with the most complex home scenario and announced that it would open its Miloco technology capabilities to the entire industry.
