对话鹿明机器人：在具身智能的“数据荒”里，做一个送水人｜AI Founder 请回答

Core Insights - The industry is facing a significant challenge known as the "data drought," which is critical for the advancement of embodied intelligence models [2] - By 2026, the demand for training data for leading embodied models is expected to reach millions of hours, highlighting the urgent need for efficient data acquisition methods [2][5] - LUMOS aims to position itself as a "super data factory" rather than just a hardware manufacturer, focusing on defining data standards for the industry [2][3] Company Background - LUMOS was founded by a team with strong technical backgrounds, including experience in robotics and AI, with the founder having previously led projects at notable companies [3] - The company has successfully completed multiple rounds of financing, raising hundreds of millions, with investments from well-known institutions [3] Technological Advancements - The FastUMI Pro system developed by LUMOS has significantly improved data collection efficiency, reducing the time per data point from 50 seconds to 10 seconds and cutting costs by 80% [4][9] - The system employs an innovative eight-step industrial data quality assessment framework, increasing data effectiveness from the industry standard of 70% to over 95% [4][9] Strategic Goals - LUMOS has set an ambitious target to establish a data production capacity of 1 million hours by 2026, which is seen as a critical milestone for the emergence of intelligent systems in embodied intelligence [5][13] - The company aims to create a comprehensive ecosystem that integrates tools, platforms, and data to maximize the value of embodied intelligence applications [5][12] Market Positioning - LUMOS is not only focused on the domestic market but also aims to expand its presence globally, with a significant portion of its clientele being top teams in the embodied intelligence field [14] - The company emphasizes the importance of high-quality data and hardware infrastructure as foundational elements for the successful deployment of embodied intelligence solutions [7][12]