Shenzhen Humanoid Robotics Startup Secures Nearly 100 Million Yuan in Two Funding Rounds Within Six Months
LuMing Robotics expects mass production this year as embodied AI attracts increasing investor interest
April 11, 2025 | Updated 10:08 AM ET | Source: China Robotics Network

Yesterday, LuMing Robotics, an embodied intelligence robotics company, announced that it has completed two rounds of funding—an Angel Round and an Angel+ Round—totaling nearly 100 million yuan within six months of its establishment.
The Angel+ Round was co-invested by Puhua Capital, Prof. Gao Bingqiang (Founding Dean and Honorary Fellow of the Hong Kong University of Science and Technology’s School of Engineering), and existing shareholders exercising over-subscription rights. The Angel Round was jointly invested by InnoAngel Fund, Shangchang Guoxiang Capital, and Plum Ventures. Ruichen Capital acted as the exclusive financial advisor for this round. The funds will accelerate core technology R&D, recruitment of high-end talent, and the commercialization and productization process.
“Our uniqueness lies in understanding the entire journey from the lab to the production line. We are committed to merging cutting-edge embodied intelligence with mass-production expertise.”
Founded in September 2024, LuMing Robotics is an innovative company focused on developing and manufacturing product-grade embodied intelligent robots. It aims to deliver high-performance, reliable, and cost-effective embodied robots through integrated software-hardware innovations, accelerating the real-world application of embodied intelligence technologies.
Full-Stack Integration and an Experienced Team in Embodied Intelligence
The company was founded by Yu Chao, former head of Dreame Technology’s humanoid robotics division (MagicLab), who brings nearly a decade of experience in humanoid robotics R&D and management. The team comprises pioneers in China’s humanoid robotics field, including young scholars renowned for breakthroughs in embodied large models and veterans from Dreame’s MagicLab. This rare, cohesive team boasts over a decade of collaboration experience and full-stack expertise spanning hardware and software.
With deep expertise in core embodied intelligence technologies—such as “embodied brain” systems, motion control, and critical component design—the team also possesses valuable experience in mass production and cost optimization from the consumer electronics industry. This enables a closed-loop capability from cutting-edge R&D to efficient productization.
LuMing Robotics believes that mass production and the collection of real-world operational data are essential steps toward achieving Artificial General Intelligence (AGI) in embodied systems. Thus, the company adopted an integrated software-hardware, fully self-developed technical roadmap from its inception.
Breakthroughs in “Embodied Brain” and Commercialization Progress
At the “embodied brain” level, the company leverages a self-developed differentiable end-to-end large model architecture, integrating multimodal data (vision, tactile, etc.) and task-specific algorithms to pioneer commercialization thresholds.
On the commercialization front, LuMing Robotics has secured substantial orders. Drawing on prior experience in producing thousands of units, the team is now focused on scaling production capacity, with mass shipments expected within the year.
With a clear productization path, pragmatic business strategies, and an experienced team, LuMing Robotics is steadily advancing toward its goal of becoming a “definer and best practitioner of embodied intelligent robots.” It aims to bring efficient and reliable embodied robots to diverse industries and households in the near future.
Yu Chao, Founder and CEO of LuMing Robotics, stated: “Our uniqueness lies in understanding the entire journey from the lab to the production line. We are committed to merging cutting-edge embodied intelligence with mass-production expertise to create accessible, practical, and affordable product-grade robots—using technology to illuminate lives.”