再获近6亿融资，“伯克利”AI大牛领衔，这家具身智能机器人创企晋升独角兽！

Core Viewpoint - The article highlights the recent financing success of Qianxun Intelligent, a leading Chinese humanoid robot startup, which raised nearly 600 million yuan in a Pre-A+ round led by JD.com, indicating strong investor interest in the embodied intelligence sector [1]. Financing and Investment Trends - Qianxun Intelligent has completed five rounds of financing within 1.5 years, accumulating over 1.4 billion yuan, showcasing its appeal in the capital market [1]. - Major tech companies, including JD.com, Huawei, Tencent, and Ant Group, have entered the embodied intelligence sector through investments in various startups, indicating a trend of "self-research + investment" strategies among industry leaders [2][3]. Company Overview - Qianxun Intelligent, established in January 2024, focuses on developing world-class general-purpose humanoid robots and next-generation embodied large models and learning algorithms [6]. - The company is led by a team with significant expertise in robotics, including its CEO Han Fengtao and co-founder Gao Yang, who have strong academic and industry backgrounds [9][18]. Technological Advancements - Qianxun Intelligent emphasizes a full-stack approach, integrating both hardware and software capabilities, which is crucial for the seamless operation of humanoid robots [19]. - The company has made significant progress in developing its VLA (Vision-Language-Action) model, achieving breakthroughs in complex task execution, such as folding clothes, which demonstrates its advanced capabilities in embodied intelligence [23][24]. Market Position and Future Plans - The company is targeting high-value sectors such as smart manufacturing, logistics, and healthcare, with plans to deliver hundreds of products by 2025 after conducting over 80 scenario studies [33]. - Qianxun Intelligent is positioned as a key player in the embodied intelligence market, competing with other startups that focus on either hardware or software capabilities, with a notable emphasis on AI-driven solutions [34].