目前主要仍由英伟达垄断的人形机器人"大脑"芯片模组，迎来了国产替代的新选择。 1月26日，国产GPU企业天数智芯发布了芯片四代架构路线图，并推出"彤央"品牌系列边端侧AI算力 产，可用于具身智能，以及交通智能、工业智能、车路云一体化等典型边端场景。 彤央系列产品的突出特点在于兼容CUDA生态，机器人操作系统、具身模型及算法可在彤央产品和英伟 达Orin系列产品上丝滑切换，给具身智能领域的产业应用提供更多选择。 具体来看，此次发布的"彤央"系列包括四款产品，各有侧重：彤央TY1000算力模组采用 699pin 接口， 以口袋大小集成行业级算力与开放生态，实现便携化部署；彤央TY1100算力模组集成ARM v9 12核 CPU与自研GPU模组，以充沛算力提供多元选择；彤央TY1100_NX 算力终端凭借更大显存成为高性价 比之选，堪称边端算力"小钢炮"；彤央TY1200 算力终端则以 300 TOPS的极致性能与小巧身材，为 AIPC、具身智能等前沿场景提供核心支撑。 | 参数 | TY1200 | | --- | --- | | CPU | 16-Core X86 | | GPU | 天数智芯GPGPU MXM ...

Investment Rating - The industry investment rating is "Outperform the Market" [1][24]. Core Insights - The report highlights the significant breakthroughs in lightweight smart glasses and the emergence of "embodied intelligence" in robotic vacuum cleaners, showcasing the deep integration of AI with hardware at CES 2026 [2][4][5]. - AI is driving the upgrade of IoT across all scenarios, with strong support from chip manufacturers like Rockchip, Amlogic, and Tailing Micro, which are showcasing their capabilities in various fields [15][18]. - The report emphasizes the importance of AI in transforming smart hardware, suggesting that the integration of AI technology will enhance user experience and drive hardware upgrades [22]. Summary by Sections Smart Glasses and Robotic Vacuum Cleaners - The CES 2026 showcased lightweight smart glasses, with products like MoJie weighing only 25g and XGIMI at 28.9g, marking a significant reduction in weight through innovative optical technology and materials [6][10]. - The report notes that the application of smart glasses is expanding into various verticals such as professional translation, entertainment, outdoor sports, health maintenance, education, and industrial inspection, enhancing their competitive edge [8][9]. AI-Driven IoT and Chip Support - Rockchip presented a range of AI-driven IoT solutions, including consumer electronics and robotics, emphasizing the shift from passive to active service in hardware [15][18]. - Amlogic's focus on local computing and privacy-first solutions aims to enhance the performance of smart devices, with new chips like S905X5 and A311D2 set to launch in early 2026 [19][20]. - Tailing Micro's TL322X chip is designed to support high-end wireless gaming peripherals, showcasing advancements in wireless technology and low latency [21]. Investment Opportunities - The report suggests that investors should pay attention to the upgrade opportunities in smart hardware driven by AI, particularly in main control chips and semiconductor materials, as the demand for intelligent products continues to grow [22].

Group 1 - GAC Group has signed a full-stack AI strategic cooperation agreement with Alibaba Cloud [1] - Changan Automobile plans to mass-produce humanoid automotive robots by 2028 [2] - Rockchip's RK3588 chip has been widely applied in various forms of robots [3] Group 2 - Kabeiyi has reached a strategic cooperation with Matrix Superintelligence to jointly promote the development of humanoid robot business [4] - Liujin Technology is strategically divesting non-core assets to focus on "AI + audiovisual" industry upgrades [5]

Core Insights - The company reported a significant increase in net profit for the first three quarters of 2025, with a year-on-year growth of 121.65% [1] - The flagship RK3588 chip is driving demand in the AIoT market, particularly in automotive electronics, machine vision, industrial applications, and robotics [1] Financial Performance - In Q3 2025, the company achieved a revenue of 1.096 billion yuan, representing a year-on-year growth of 20.26% [1] - The net profit attributable to shareholders for Q3 2025 was 248 million yuan, showing a year-on-year increase of 47.06% [1] - For the first three quarters of 2025, total revenue reached 3.141 billion yuan, up 45.46% year-on-year [1] - The net profit attributable to shareholders for the first three quarters was 780 million yuan, reflecting a growth of 121.65% year-on-year [1] Market Dynamics - The demand in the AIoT market continues to rise, with the RK3588 chip facilitating penetration into various sectors [1] - The transition from DDR4 to DDR5 memory chips due to supply shortages and price increases has impacted short-term demand, leading to a slight slowdown in revenue growth for Q3 [1] - The company anticipates a return to rapid growth following the adjustment period for clients transitioning to DDR5 [1]

Core Viewpoint - Nvidia's new Jetson Thor chip significantly enhances the computational power and data processing capabilities for robotics, enabling more complex tasks to be performed directly on the device rather than relying on cloud processing [3][4]. Group 1: Nvidia's Jetson Thor Chip - The Jetson Thor chip, based on the Blackwell architecture, offers a peak performance of 2070 TFLOPS at FP4 precision, representing a 7.5 times improvement over the previous Orin chip and a 3.5 times increase in energy efficiency [4]. - The chip allows robots to handle high-resolution, high-frequency sensor inputs directly, potentially shifting many tasks from cloud processing back to local execution [5]. Group 2: Robotics Deployment Models - Current robotics typically utilize a hybrid deployment model combining cloud and edge processing, with edge systems focusing on real-time tasks and cloud systems handling more complex reasoning tasks [4]. - The reliance on cloud processing introduces latency issues that can affect the safety and feasibility of high-frequency tasks, such as rapid decision-making and continuous grasping [4]. Group 3: Competitive Landscape - Domestic companies are also developing their own solutions, such as Diguo Robotics' RDK S100 development kit and Hezhima Intelligent's chips for humanoid robots, which focus on real-time control and multi-modal data processing [6][7]. - The advantages of domestic chips include higher cost-effectiveness and tailored services that cater to local market needs, providing differentiation in scene optimization [7].

Core Viewpoint - The rapid profit growth of a company not operating in mainstream sectors indicates that the true commercial value of the IoT market, comprising automotive, industrial, and robotics, may be underestimated by the external environment [4][6]. Financial Performance - In the first half of 2025, the company achieved revenue of 2.046 billion yuan, a year-on-year increase of 63.85%, and a net profit of 531 million yuan, a year-on-year increase of 190.61% [6][4]. - In Q2 alone, revenue reached 1.161 billion yuan, with a quarter-on-quarter growth of 31.18%, and net profit of 322 million yuan, with a quarter-on-quarter growth of 54% [6]. - The gross margin in Q2 was 43.3%, up 6.5 percentage points year-on-year, indicating a shift towards higher-margin products [6]. Product and Market Strategy - The flagship product, RK3588, is a system-on-chip (SoC) that integrates various functionalities, serving as the "brain" for smart devices [7]. - The RK3588 chip is utilized in diverse applications, including automotive electronics, industrial applications, and robotics, showcasing a "one chip serves multiple industries" model [8]. - The company employs a sales model that combines distribution and direct sales, leveraging a vast developer ecosystem to lower development barriers for clients [9][10]. Market Focus and Growth Areas - Key growth areas identified include automotive electronics, industrial applications, machine vision, and robotics, with a particular emphasis on the robotics sector as a rapidly growing market [11][12]. - The company has introduced a new AI vision processor, RV1126B, which integrates an independent AI-ISP module to enhance image processing efficiency [12]. AI Market Positioning - The company is not competing in the high-end GPU market but instead focuses on providing cost-effective AI solutions for existing products through its co-processor, RK182X [18][19]. - This strategy targets the "AI application" market, providing low-cost AI upgrade solutions for a large number of existing clients in the IoT sector [19].

Core Insights - The company, Rockchip (瑞芯微), reported significant growth in its financial performance for the first half of 2025, with revenue reaching 2.046 billion yuan, a year-on-year increase of 64%, and net profit of 531 million yuan, up 191% [2][3] - The company's chips are primarily used in the AIoT sector, which combines artificial intelligence and the Internet of Things, covering diverse applications such as automotive electronics, machine vision, industrial applications, and robotics [2][4] Financial Performance - In Q2 2025, Rockchip achieved revenue of 1.161 billion yuan, a quarter-on-quarter increase of 31.18%, and net profit of 322 million yuan, up 54% [3] - The gross margin for Q2 reached 43.3%, an increase of 6.5 percentage points year-on-year, indicating a shift towards higher-margin products [4] Product and Market Strategy - The flagship product, RK3588, is a system-on-chip (SoC) that integrates various functionalities, including an 8-core processor and a self-developed NPU with a computing power of 6 TOPS [5] - Rockchip's business model focuses on serving a large number of small to medium-sized clients across various industries, contrasting with traditional chip manufacturers that cater to a few large clients [6][10] Market Trends and Opportunities - The semiconductor industry is experiencing growth, with a projected global market size of $700.9 billion in 2025, driven largely by advancements in artificial intelligence [11][12] - Rockchip is targeting the AI application market with its co-processor RK182X, which allows existing products to integrate AI capabilities without significant redesign [14][16] Competitive Positioning - Rockchip is positioned as a provider of cost-effective solutions for AI applications, focusing on markets that are often overlooked by larger competitors [17][18] - The company aims to leverage its extensive developer ecosystem and product iterations to enhance its market presence and profitability [7][10]

Core Viewpoint - The article highlights the significant growth in the domestic smart device market, particularly in wearable technology, driven by favorable consumption policies and the recovery of the semiconductor industry, leading to substantial stock price increases for chip manufacturers [1][2][4]. Group 1: Smart Device Market Growth - Domestic consumption policies have spurred demand for smart devices, with China's wearable device shipment accounting for 30% of global sales and a growth rate of 20% last year [1]. - Children's smartwatches have seen explosive sales, with their market share on traditional e-commerce platforms reaching 31.5%, nearly equal to that of adult smartwatches and smart bands [2]. - The recovery in smart device sales has positively impacted chip companies, resulting in significant stock price increases over the past year [2][3]. Group 2: Semiconductor Industry Performance - Major domestic SoC manufacturers, including Rockchip, Allwinner, and Espressif, reported high revenue and net profit growth in Q1, continuing their strong performance from last year [6]. - The growth in performance is attributed to the recovery of the downstream market and the improvement in both demand and supply for chips [11]. - Rockchip's stock price has nearly tripled since its low point last year, driven by performance recovery and the expansion of AI hardware applications [3][4]. Group 3: AI Integration and Future Trends - The emergence of AI applications is creating new opportunities for SoC manufacturers, with products like AI headphones and smart glasses experiencing rapid growth in sales [16][18]. - The introduction of DeepSeek technology is lowering the barriers for developing edge AI applications, enabling a broader range of devices to incorporate AI capabilities [21][23]. - The SoC market is projected to grow significantly, with estimates suggesting a market size of $186.48 billion by 2025, driven by the increasing integration of AI in various applications [28][29].

Investment Rating - The report maintains a positive outlook on the humanoid robot industry, emphasizing the importance of software development for commercialization [3][4]. Core Insights - The report identifies that the hardware maturity of humanoid robots is currently higher than that of software, with software being the key to commercialization. It highlights the need for advancements in algorithms, data, and control systems to drive the industry forward [3][5][6]. Summary by Sections 1. Algorithms: The Core of Embodied Intelligence - The algorithm framework is divided into two levels: the upper "brain" focuses on task-level planning and decision-making, while the lower "cerebellum" handles real-time motion planning and joint control [3][11][18]. - The report discusses the evolution of control algorithms, noting a shift from traditional methods to modern approaches like reinforcement learning (RL) and imitation learning (IL) [3][19][29]. - The VLA (Vision-Language-Action) model is highlighted as a significant advancement in upper-level control, enabling robots to understand and execute tasks through natural language processing [3][36][40]. 2. Data: The Foundation of Algorithm Learning - Data quality and diversity are crucial for algorithm performance, with sources categorized into real data, synthetic data, and web data. Real data is the most accurate but least abundant [3][74][76]. - The report emphasizes the importance of remote operation and motion capture technologies for collecting high-quality real data [3][79]. 3. Control Systems: The Foundation of Embodied Intelligence - The control system is described as the "brain" of humanoid robots, consisting of hardware (SoC chips, CPUs, GPUs, NPUs) and software components [3][3][3]. - The report notes that the industry lacks a unified consensus on the structure of the "brain" and "cerebellum" in humanoid robots, which are essential for executing complex algorithms and tasks [3][3][3]. 4. Investment Opportunities - The report identifies several key companies in the humanoid robot industry worth monitoring, including: - Controller segment: Tianzhun Technology, Zhiwei Intelligent, Desay SV [4][4]. - Motion control technology: Huichuan Technology, Xinjie Electric, Leisai Intelligent, Gokong Technology, Tosida [4][4]. - Chip manufacturers: Rockchip, Horizon Robotics [4][4]. - Data collection equipment: Lingyun Optical, Aofei Entertainment [4][4].

Core Viewpoint - The artificial intelligence (AI) edge application sector is gaining market attention due to various factors including policy support and strong performance from companies in the industry, with the Wind AI concept index rising by 13.44% since April 8 [1] Industry Developments - The AI terminal industry development seminar highlighted the importance of AI terminals as key carriers for the application of AI technology, emphasizing the need for inter-departmental collaboration and industry synergy [1] - The launch of the AI terminal benchmark and intelligent grading plan aims to establish evaluation methods for various AI terminals, fostering industry consensus and supporting policy implementation [1] Product Innovations - In Q1 2025, Edge AI chips are expected to undergo dual innovations in integrated storage-computation architecture and heterogeneous computing, with companies like Rockchip achieving a threefold increase in AI inference energy efficiency in low-power scenarios [2] - Edge AI allows for localized data processing on smart devices, offering advantages such as security, independence, low latency, and high reliability compared to cloud-based AI [2] Company Performance - In Q1 2025, companies in the AI sector reported impressive earnings, with Cambricon Technologies achieving a total revenue of 1.111 billion yuan, a year-on-year increase of 4230.22%, and a net profit of 355 million yuan, up 256.82% [2] - Rockchip reported a total revenue of 885 million yuan, a 62.95% increase year-on-year, with a net profit of 209 million yuan, reflecting a growth of 209.65% [3] - Other companies such as Aibee, Pingzhi Information, and Jiadu Technology also reported net profit increases exceeding 150% year-on-year, with Jiadu Technology turning a profit due to successful project completions in smart transportation [3] Investment Outlook - The AI edge sector is transitioning from a technical concept to large-scale application, driven by improvements in terminal chip computing power and lightweight model optimization [3] - Analysts predict a new wave of innovation in smart terminals such as intelligent connected new energy vehicles, AI smartphones, and smart manufacturing equipment, driven by the lightweight model trends initiated by DeepSeek [4] - The penetration of AI edge products is expected to boost demand for consumer-grade storage, with open-source models like DeepSeek facilitating rapid deployment in devices such as smartphones and PCs [4]