清华系具身智能公司获数亿元Pre-A轮融资，拿下三菱等头部客户订单｜早起看早期

Core Insights - Lumos Robotics has recently completed Pre-A1 and Pre-A2 financing rounds, raising several hundred million yuan [5][7]. - The company focuses on embodied intelligent robots and core components, aiming to build a comprehensive capability loop from data collection to hardware innovation and operating system modeling [9][10]. Financing Information - Financing Rounds: Pre-A1 and Pre-A2 - Total Amount: Several hundred million yuan - Investors: Pre-A1 led by Dinghui Investment, with participation from Nanjing Chuangtou, Jinjing Capital, and Jingu Co.; Pre-A2 led by Sheneng Chengyi Investment [7]. Company Overview - Established: September 2024 - Location: Bao'an District, Shenzhen, Guangdong Province - Focus: Research and sales of embodied intelligent robots and core components, providing a full-stack infrastructure for embodied intelligence across various fields [9][10]. Product Matrix - Key Products: LUS and MOS series humanoid robots, robotic joint modules, and tactile modules [10]. Team Background - Founder and CEO: Yu Chao, with a background in robotics learning algorithms and experience in leading the embodied robotics business at another company [13]. - CTO: Cao Junliang, a PhD in Mechanical Engineering from Shanghai Jiao Tong University, with extensive experience in high-performance embodied robot product development [13]. Technical Highlights - Lumos Robotics has launched four robot products in the past year, developing a full-stack R&D capability from data collection to system integration [14]. - The FastUMI data collection system enhances efficiency by three times, reduces costs to one-fifth of traditional methods, and achieves precision of 1-3 mm [14]. Market Size - The humanoid robot market is rapidly expanding, with projections indicating a global market size of 6.339 billion yuan by 2025, with China accounting for over 50% [16]. Business Progress - Lumos Robotics has established deep collaborations with leading companies such as Mitsubishi and COSCO Shipping, and has attracted strategic investors with industry resources [19][20]. Future Directions - The company plans to enhance its hardware product system, upgrade data and algorithm capabilities, and develop next-generation embodied intelligent models [24]. - The focus is on accumulating high-quality real machine data to support the commercialization of embodied intelligence [24].