机器狗Unitree As2
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机器人行业周报:宇树科技发布新款机器狗,宝马欧洲工厂即将部署人形机器人
Southwest Securities· 2026-03-02 04:30
Investment Rating - The report maintains an "Outperform" rating for the machinery equipment industry as of March 1, 2026 [1]. Core Insights - The robotics index underperformed the market, with the Zhongzheng Kexin Robotics Index dropping by 4.3%, lagging behind the Shanghai Composite Index by 3.8 percentage points and the CSI 300 Index by 4.3 percentage points [4][11]. - BMW plans to deploy humanoid robots named AEON at its Leipzig factory in Europe, which will begin large-scale pilot testing in summer 2026. These robots are expected to enhance production efficiency, having previously supported the production of 30,000 BMW X3 vehicles in the U.S. [15][16]. - Yushu Technology launched its fourth robotic dog, Unitree As2, which boasts performance capabilities twice that of its predecessor, Go2, with a peak torque of 90N.m and a maximum speed of 5m/s. The company anticipates that 80% of its robotic dogs will be used in research, education, and consumer sectors by 2024 [18][19]. - Qianxun Intelligent, a leading company in embodied intelligence, completed two rounds of financing totaling nearly 2 billion yuan, with plans to invest in developing large-scale models and expanding technology applications across various sectors [19]. Summary by Sections Market Review - The robotics index experienced a decline of 4.3% from February 23 to March 1, 2026, underperforming compared to major indices [4][11]. Industry Dynamics - BMW's deployment of humanoid robots in its Leipzig factory marks a significant step in integrating AI-based robotics into its European production system, leveraging successful experiences from its U.S. operations [15][16]. - Yushu Technology's new robotic dog, Unitree As2, features enhanced performance metrics and aims to capture a significant share of the global market for quadruped robots [18]. - Qianxun Intelligent's recent funding rounds reflect strong investor confidence and a strategic focus on scaling technology across multiple applications [19].