Investment Rating - The investment rating for the humanoid robotics industry is generally positive, with a focus on component stocks such as Sanhua (Buy), LeaderDrive (Neutral), and Best (Neutral) [30]. Core Insights - The humanoid robotics industry is progressing towards commercialization by integrating generalizable intelligence with practical applications, relying on four core technologies: algorithms, data, computing power, and hardware [5][19]. - The industry forecast anticipates shipments of 20,000 units in 2025 and 1.4 million global humanoid robot shipments by 2035 [30]. Summary by Sections Industry Overview - A recent field trip to humanoid robot companies in Beijing and Shenzhen highlighted a consensus on the need for robots to combine intelligence with practical applications [1]. - The focus is shifting towards developing the "brain" of humanoid robots, with significant investments in data factories to collect real-world interaction data [1][12]. Technology Development - The Vision-Language-Action (VLA) model is recognized as a feasible solution for humanoid robots, integrating vision and action to enhance task execution [6][7]. - High-quality real-world data is deemed critical for training models, with a requirement of approximately 10 million hours of data to achieve general-purpose autonomy [12][11]. Data Collection and Infrastructure - Companies are investing between US200 million in data factories to support the extensive data collection needed for training [12]. - There is an ongoing debate regarding the effectiveness of different types of data (2-D video, teleoperational data, and simulation data) for training embodied AI systems [11]. Computing Power - Nvidia's Jetson Orin is currently the dominant computing platform, although local startups are exploring partnerships with Huawei to build domestic computing infrastructure [18]. Hardware Innovations - Dexterous hands are identified as a key focus for hardware improvement, essential for fine motion control and data collection [19]. - The humanoid robot pricing ranges from US100,000, with expectations of cost reductions through scale production and component optimization [23]. Practical Applications - Initial commercial opportunities are seen in industrial applications such as materials handling and sorting, while consumer applications are still considered distant due to regulatory hurdles [20][22]. - Companies report achieving up to 95% accuracy in materials handling tasks, with small-scale adoption expected to begin in 2025-2026 [20].
高盛:中国人形机器人行业-2025 年 TechNet 中国实地考察小组要点:随着对数据工厂投资增加,对数据的重视程度不断提高