万马科技（300698.SZ）8月14日在投资者互动平台表示，公司积极参与到人工智能加速演进的浪潮中， 希望可以将在汽车行业的技术积累迁移至具身智能领域。公司的"遨云"自动驾驶数据闭环工具链平台产 品涉及数据管理、模型训练、仿真模拟和数据合规等能力。您可继续关注公司定期报告、公众号获取公 司战略与发展信息。 （文章来源：每日经济新闻） 每经AI快讯，有投资者在投资者互动平台提问：贵司是否有布局机器人业务，贵司的产品能否应用于 机器人行业，是否有这类型的客户？ ...

Group 1 - The core achievement of Harbin Engineering University is the development of an electro-hydraulic deep-sea soft robot, which has been tested in various deep-sea environments, including depths of 1369 meters and 4070 meters [2] - The robot utilizes a miniaturized energy control system for electro-hydraulic unit coordination, enabling it to perform various movements in deep-sea conditions [2] - The soft robot is equipped with a micro deep-sea optical perception system, allowing it to sense its motion state and environmental targets in extreme underwater conditions [2] Group 2 - Figure Company showcased its humanoid robot, Figure 02, which can autonomously fold clothes, utilizing the Helix model for visual language action [5] - The Helix model allows the robot to learn directly from real-world scenarios without relying on rigid fabric models, enhancing its operational capabilities [5] - The robot's neural network has transitioned from merely moving boxes to accurately picking up clothes and folding them through a data-driven approach [5] Group 3 - The 2025 World Robot Conference in Beijing resulted in significant industry promotion, with over 19,000 robots and related products sold, generating sales exceeding 200 million yuan [9] - The conference featured 220 renowned domestic and international robot companies, showcasing 1569 products and securing a total financing amount of 1.481 billion yuan [9] - New initiatives were launched during the conference, including talent cultivation plans and the release of research reports on the development trends of embodied intelligent robots [9] Group 4 - A new data-driven framework called Bioinspired Predictive Slip Control (BPSC) was proposed to enhance robotic manipulation by actively suppressing slip during operations [12] - The BPSC framework integrates neural network predictions with model predictive control, significantly improving stability and adaptability in complex handling tasks [12] - Experimental results indicate that the slip suppression efficiency of this method is 82% higher than traditional gripping force control methods [12] Group 5 - Ninebot Company reported a 76.14% year-on-year increase in revenue, reaching 11.742 billion yuan, and a net profit growth of 108.45%, amounting to 1.242 billion yuan [15] - The company has accumulated 3,790 patents and is actively involved in standardization activities, filling several industry gaps across various technology fields [15] - Key technologies developed by Ninebot include sensorless drive technology and autonomous navigation systems, which have been widely applied across multiple product lines [15]

Core Viewpoint - The article emphasizes the importance of job opportunities and resources in the fields of autonomous driving and embodied intelligence, highlighting a community platform for job seekers in these sectors. Group 1: Job Descriptions and Requirements - The position involves designing and developing end-to-end algorithms for intelligent assisted driving, including BEV perception, Lidar perception, occupancy networks, and multi-modal large models [1] - Candidates with experience in deep learning, object detection, and reinforcement learning algorithms are preferred, along with a background in computer science or electronics [2] - Proficiency in the PyTorch deep learning framework and good communication skills are essential for applicants [2] Group 2: Community and Resources - The AutoRobo knowledge community has nearly 1,000 members, including professionals from various companies in the autonomous driving and robotics sectors [4] - The community provides resources such as interview questions, industry reports, salary negotiation tips, and internal job postings for various positions [5][6] - A compilation of 100 interview questions related to autonomous driving and embodied intelligence is available for members [9] Group 3: Industry Reports and Insights - The community offers in-depth industry reports to help members understand the current state and future prospects of the autonomous driving and embodied intelligence sectors [15] - Reports cover various topics, including the development trends and market opportunities within the embodied intelligence industry [15] Group 4: Interview Experiences and Tips - The community shares both successful and unsuccessful interview experiences to help members learn from past mistakes and improve their interview skills [17] - Insights on salary negotiation and common HR questions are also provided to assist job seekers [19][21]

Group 1: Digital Infrastructure Development - China's total computing power ranks second globally, with significant advancements in digital infrastructure during the "14th Five-Year Plan" period [1] - By June 2025, the number of 5G base stations is expected to reach 4.55 million, and gigabit broadband users will reach 226 million [1] Group 2: Key Technological Breakthroughs - China has made significant breakthroughs in key core technologies in the digital field, including a complete industrial chain for integrated circuits and the rise of domestic operating systems like Harmony, which has over 1.19 billion devices [2] - The country holds 60% of global artificial intelligence patents, indicating a substantial leap in AI capabilities [2] Group 3: Data Industry Growth - The number of data enterprises in China is projected to exceed 400,000 by 2024, with the data industry scale reaching 5.86 trillion yuan, a 117% increase from the end of the "13th Five-Year Plan" [3] - The data industry is expected to maintain a high growth rate in the coming years [3] Group 4: Policy and Institutional Developments - More than 10 new systems, including data property rights, will be introduced this year, following the launch of 21 policies last year aimed at public data resource development [4] - The national integrated data market is accelerating its construction, with a focus on data aggregation, sharing, and utilization [4] Group 5: Data Circulation Nodes - 25 data circulation node cities have been established, with plans to expand to around 50 by the end of the year, covering 80% of provinces [5] - This infrastructure supports large-scale cross-regional data circulation [5] Group 6: Focus Areas for Data Development - The National Data Bureau aims to create data hubs in key areas such as embodied intelligence, low-altitude economy, and biomanufacturing [6] - There is a push for societal recognition of data value and fostering a market consensus for premium data [6] Group 7: Data Product Market - Data products are now recognized nationwide, with successful implementation in cities like Beijing and Shanghai [7] - The number of newly listed data products reached 3,328 in the first half of the year, a 70% year-on-year increase, with AI data supply showing remarkable growth [8] - High-quality datasets in AI increased by 2.8 times compared to the previous year, enhancing data utilization across various industries [8]

三位产业领军人物，揭秘中国制造的智能化进阶之路。 从吉利汽车研究院常务副院长任向飞，到小马智行创始人兼首席技术官楼天城，再到中坚 科技副总经理兼首席战略官鲍嘉龙，在2025世界人工智能大会的特别节目《智能驱动新经济： 从自动驾驶到具身智能的产业新纪元》中，他们展开了一场关于"AI重塑中国制造 " 的深度对 话。 当汽车不再只是出行工具，当机器人开始理解物理世界，一场万亿级的产业革命正在中国 加速展开。 这不仅是传统制造业的数字化转型，更是中国智造迈向全球价值链顶端的关键跳跃。 传统车企的"三驾马车 " 算力、算法、数据全面赋能 " 智能汽车的发展方向就是从普通的出行工具要向具身智能体的形态去转变。" 吉利汽车研究院常务副院长任向飞开门见山地指出了汽车产业的未来走向。 在这场对话中，传统车企不再是简单的制造商，而是AI技术的深度整合者。任向飞透露，吉利在2021 年就开始部署星睿智算，目前拥有23.5个EFlops的算力水平，在汽车行业中位居前列。 从动力域到智能驾驶，从娱乐域到底盘域，全域AI正在重新定义汽车这个复杂工业品的每一个环节。 传统车企如何通过AI实现从制造到智造的华丽转身。 自动驾驶商业化拐点 成 ...

Group 1: Macro and Financial Data Insights - In July, the growth of M1 and M2 exceeded market expectations, with M2 expanding by 8.8% year-on-year and M1 growing by 5.6%, up from 8.3% and 4.6% in June respectively [2][3] - New social financing in July was 1.16 trillion yuan, lower than the Bloomberg consensus of 1.63 trillion yuan, while new RMB loans decreased by 500 million yuan, indicating a shift in financing structure and seasonal factors [2][3] - The stock of social financing grew at a rate of 9.0% year-on-year, an increase from 8.9% in June, with seasonally adjusted month-on-month growth rising from 8.4% to 9.6% [2][3] Group 2: Banking Sector Analysis - The July social financing increment of 1.16 trillion yuan was below the expected 1.41 trillion yuan, with a year-on-year increase of 389.3 billion yuan [5] - The government bonds were the main support for social financing in July, while M1 growth showed a marginal recovery [5] - A new consumption loan subsidy policy is expected to stimulate the growth of consumer loans, indicating a positive outlook for the banking sector [5] Group 3: Company-Specific Insights - Tencent's Q2 revenue grew by 14.5% year-on-year, exceeding consensus expectations, with significant growth in value-added services, advertising, and fintech revenues [11] - The company is expected to benefit from the upcoming launch of several major shooting games, which could drive both player engagement and monetization [11] - Huatai Securities initiated coverage on Yuntianhua with a "buy" rating, citing its leading position in the phosphate industry and expected steady demand growth for fertilizers [15] Group 4: Technology and Robotics - The introduction of teaching-free robots is transforming the welding industry, addressing labor shortages and improving efficiency through advanced visual systems and welding software [7] - These robots are expected to penetrate more complex applications, such as shipbuilding, as technology continues to evolve [7] Group 5: Consumer and E-commerce Trends - SEA's Q2 revenue reached $5.26 billion, a 38.2% year-on-year increase, driven by strong performance in e-commerce and digital financial services [29] - The company anticipates continued growth in its e-commerce GMV, projecting a 25% year-on-year increase for Q3 [29] - Tencent Music's Q2 revenue was 8.44 billion yuan, up 17.9% year-on-year, benefiting from rapid growth in super memberships and strong performance in non-subscription services [27]

除了热情的观众，在一级市场，具身智能的投资更是一浪更比一浪强。 今年7月，京东一天官宣投资三家机器人公司，分别为众擎机器人、千寻智能和逐际动力。更早一个 月，银河通用宣布完成11亿元新一轮融资，据第三方机构统计，这是迄今为止国内具身智能领域单笔最 大融资。 更多的公开数据则显示，2025年上半年在具身智能的融资规模，已经超过了去年全年。截至8月12日， 国内现存机器人相关企业95.8万家。今年前7月已注册机器人相关企业15.28万家，较去年同期相比，增 长43.81%，增速远超去年全年注册水平。 而随着资本进场和大批机器人相关企业入局，机器人这个全新的行业生态正在加速形成，并正式开启了 上半场的征程。 热钱进场，资本先行站位 判断一个早期行业是否具有足够大的商业前景时，资本永远是最具参考意义的风向标。 一场世界机器人大会，彻底引爆了普通大众对于人形机器人的关注度。 据世界机器人大会的官方数据统计，本次展会的参观人数累计突破了130万。据笔者现场看到的情况， 几乎每一个展台，都被热情的观众给层层叠叠的包围住。尤其是在机器人拳击赛、足球赛的展示环节， 众多展台更是人满为患。 高工机器人产业研究所数据显示，国内具身 ...

Investment Rating - The investment rating for the company is "Buy-A" (maintained) [1] Core Views - The company reported a revenue of 597 million yuan for the first half of 2025, representing a year-on-year growth of 10.32%. However, it incurred a net loss attributable to shareholders of 14.19 million yuan, an improvement from a loss of 26.24 million yuan in the same period last year [4] - The company's performance in the smart driving solutions, consumer electronics, and PCB sectors showed significant growth, with visual measurement equipment revenue increasing by 72.44% year-on-year [4][5] - The semiconductor sector has made significant breakthroughs, with the company’s joint venture achieving major progress in the field [5] Financial Performance - The company’s revenue for Q2 2025 was 378 million yuan, a year-on-year increase of 8.76%, with a net profit attributable to the parent company of 18 million yuan, up 54.07% year-on-year [4] - The company’s net profit forecast for 2025-2027 is expected to be 170 million yuan, 180 million yuan, and 200 million yuan respectively, with year-on-year growth rates of 32.8%, 11.0%, and 10.0% [7] - The earnings per share (EPS) for 2025 is projected to be 0.86 yuan, with a price-to-earnings (P/E) ratio of 60.8 based on the closing price of 52.00 yuan on August 13 [7] Business Segments - The company’s visual measurement equipment generated revenue of 226 million yuan, driven by growth in major consumer electronics clients [4] - The smart driving solutions segment saw a revenue increase of 125.39% year-on-year, attributed to growth in automotive smart driving and humanoid robot sectors [4][5] - The visual detection equipment revenue decreased by 70.81% due to a decline in the photovoltaic industry [4] Market Position - The company is recognized as a leading visual equipment platform in China, focusing on the integration of artificial intelligence technology to drive industrial digital transformation [6] - The company is expanding its business collaborations in the smart driving sector, particularly with major automotive manufacturers [5][6]

（文/孙梅欣 编辑/张广凯） 尽管搭上了"机器人"概念的东风，但最近10年都没盈利的天链机器人，冲击上交所被"劝退"的风险大大 增加。 虽然天链机器人不属于科创板负面清单行业，但长期无法盈利，可能是导致企业难登上交所的因素。 公告显示，2023年-2024年期间，天链机器人营收分别为2139.26万元、2991万元，经营活动产生的现金 流量净额分别为-1.44万元、-908.84万元。同时，归属于挂牌公司股东的净利润均为负值，营业收入最 近三年复合增长率为12.03%。 公告称，截至2025年7月30日，公司总市值为7.56亿元，公司的市值及财务等指标暂不满足《上海证券 交易所科创板股票上市规则》、《科创属性评价指引(试行)》规定的上市条件。 根据相关规则，在上交所科创板上市的股票，至少要符合多项标准中的一项。其中，包括预计公司市值 不低于人民币10亿元，要求最近两年净利润均为正，且累计净利润不低于人民币5000万元等条件。 另外根据《试行》要求，在科创板上市企业，最近三年营业收入复合增长率要达到25%，或最近一年营 业收入金额达到3亿元。 由此来看，天链机器人在市值、净利润、复合增长率等多个方面的财务指标上 ...

Core Insights - The World Robot Conference (WRC) showcased major manufacturers and suppliers in the robotics industry, with a significant focus on LiDAR technology as a standard for embodied intelligence [1] - Hesai Technology anticipates that its LiDAR shipments in the robotics sector will exceed 200,000 units by 2025, surpassing the total historical deliveries of robotic LiDAR [1] - The demand for robotic lawn mowers is surging, with a notable increase in orders expected this year [1] Industry Trends - The rise of boundary-less robotic lawn mowers has led to a rapid increase in domestic players entering the market, with 32 companies having entered the sector over the past five years [2] - Current global sales of robotic lawn mowers are approximately 1.8 million units, with a penetration rate of less than 10%, indicating the industry is still in its early stages [2] - The combination of hardware and software optimization is crucial for the success of robotic lawn mowers, particularly in North America where grass quality and growth rates demand high-performance equipment [2] Company Developments - Hesai Technology signed a strategic cooperation agreement with Keting Technology to provide 300,000 JT series LiDAR units for their robotic lawn mowers within a year [3] - The JT series LiDAR has achieved mass production of 100,000 units in less than five months, primarily for the lawn mower sector [3] - Suton Juchuang has completed a full-link solution layout involving hardware, chips, and AI technology, with expectations to reach a shipment volume of 100,000 units by 2025 [3] Product Innovations - At the WRC, Hesai Technology showcased two core product solutions: the mini ultra-spherical 3D LiDAR JT series and the next-generation automotive-grade solid-state LiDAR FTX [4] - Suton Juchuang introduced the Active Camera platform, with the second product AC2 set to launch in the second half of the year [4] - The demand for LiDAR is increasing as it is considered an essential sensor for robotic mobility due to its wide sensing range, compact size, and reliability [5] Market Outlook - The demand for embodied intelligence in robotics is expected to grow, with various manufacturers planning to launch humanoid robots by the end of 2024, marking 2025 as a potential commercialization year for humanoid robots [6] - The market for robotic lawn mowers alone could reach millions of units, with the overall market size for service robots projected to surpass that of the automotive sector [6]