CES的热闹景象，是具身智能产业 的 火热投射。 但当 观众 为 机器人 每一次灵巧抓取、每一次复杂装配的演示欢呼时，内行人都清楚，其性能上限最终都受 限于训练数据的规模与质量。缺乏海量、多样、高保真的物理交互数据，机器人的 "智能"便如无源之水。 2026年1月，拉斯维加斯再次成为全球科技界的焦点 。 在本届 CES国际消费类电子产品展览会 上， 参展商突破 4100家，预计观众超15万，这一系列数字印证了全 球科技行业的全面复苏态势。展馆内四处展演的机器人、精密演示的机械臂，更揭示了一个深刻趋势：消费电 子的未来，正从掌中的屏幕，走向能感知、能交互、能执行的物理实体。 然而，这些能抓取、能装配的实体机器人，之所以能完成复杂任务、适配多元场景，核心依赖于背后 大模型 算法的迭代升级 —— 而算法的 "聪明度"，恰恰取决于其训练数据的质量与规模。正因如此，在这片繁荣景象 与前沿演示的背后， 存在 一个困扰整个行业发展的根本性难题 —— "高质量训练数据从何而来" ，正如同达 摩克利斯之剑，高悬于 具身智能行业之上 。 在这场关乎未来的竞赛中，一家源自中国香港科技大学 的机器人公司 —— 戴盟机器人（ Daim ...

Core Viewpoint - The article highlights the advancements in brain-computer interface technology through the example of Qiangnao Technology, which has developed a smart bionic hand that enables users to perform complex tasks, showcasing the potential for human-robot coexistence in the future [1][3]. Group 1: Company Overview - Qiangnao Technology, founded in 2015, is the first unicorn in the brain-computer interface sector in China, focusing on non-invasive brain-computer interface technology for nearly a decade [5]. - The company recently completed a financing round of approximately 2 billion yuan, making it the second-largest in the global brain-computer interface field after Neuralink [3]. Group 2: Product Development - Qiangnao Technology has launched several products, including smart bionic hands and legs, as well as brain-machine intelligent sleep devices, creating a product matrix that spans medical rehabilitation, consumer health, and advanced robotics [8]. - The smart bionic hand has been successfully used in major events such as the Beijing Winter Paralympics and the Hangzhou Asian Para Games, indicating its practical application and recognition [10]. Group 3: Technological Advancements - The company has developed a solid gel electrode that allows for convenient brain signal acquisition without the need for conductive paste, overcoming a significant barrier in non-invasive technology [7]. - Qiangnao's Revo 2 bionic hand, weighing only 383 grams, can exert a grip force of 50N and carry weights of up to 20kg, showcasing its advanced multi-modal tactile sensing capabilities [12]. Group 4: Competitive Advantage - Qiangnao Technology has established a unique technological and commercial moat through large-scale production and cost control, managing to reduce the cost of its smart bionic hand to one-fifth to one-seventh of similar products in Europe and the U.S. [15]. - The company has achieved mass production of 100,000 units of high-precision brain-computer interface products, demonstrating its capability for industrial-scale production [15]. Group 5: Future Vision - With the recent funding, Qiangnao Technology aims to accelerate technological iterations, expand into global markets, and deepen its product offerings in rehabilitation, health, and human-machine interaction [16]. - The company's strategic direction is evolving from addressing rigid medical needs to broader applications in health, targeting to assist 1 million individuals with physical disabilities and 10 million patients with Alzheimer's, autism, and sleep disorders within the next 5 to 10 years [18].

Core Viewpoint - The strategic partnership between JAKA Robotics and Intel aims to integrate computing power with operational capabilities to advance the industrialization of embodied intelligence technology, providing adaptable and easily deployable intelligent robotic solutions across various industries [1][3]. Group 1: Partnership Overview - JAKA Robotics and Intel signed a memorandum of cooperation to establish a deep strategic partnership focused on the fusion of computing power and operational capabilities [1]. - Intel, as a leader in the semiconductor and computing innovation sectors, will support JAKA Robotics in exploring general-purpose intelligent robotics [3]. - JAKA Robotics has a comprehensive stack from core components to complete machines, including products like the JAKA Kargo wheeled dual-arm robot and the JAKA Lumi embodied intelligence platform [3]. Group 2: Focus Areas of Collaboration - The collaboration will focus on three main areas: 1. Exploring key fusion technologies in the embodied intelligence field based on Intel's advanced hardware platforms, such as the Intel® Core™ Ultra processors [5]. 2. Developing customized technology and integration work for specific scenarios in industrial manufacturing and commercial services, creating rapidly deployable intelligent robotic solutions [5]. 3. Joint market activities and ecosystem building to empower developers and academic-industry partners, fostering an open and collaborative industrial ecosystem [5]. Group 3: Statements from Executives - The CTO of JAKA Robotics emphasized the commitment to enhancing robots' perception, decision-making, and operational capabilities, aiming for robots to become valuable partners in human work and life [7]. - The General Manager of Intel China highlighted that the integration of a powerful, open computing platform with top-notch robotic technology is essential for the large-scale implementation of embodied intelligence [9]. - This strategic cooperation is seen as a significant step towards transitioning embodied intelligence from technology to large-scale industrial application, with plans for continued innovation in computing architecture and robotic technology [9].

Core Insights - Data is becoming the core fuel for the AI era, similar to how oil was essential in the industrial age. The competition among robotics companies will increasingly revolve around data collection, generation, and application as the demand for embodied intelligence data surges [1][3]. Group 1: Importance of High-Quality Human Data - High-quality human-shaped data is crucial for embodied intelligence, as it allows robots to perform better in real-world scenarios. Unlike large language models that leverage vast amounts of internet data, embodied robots face challenges in data acquisition, requiring tailored data through real interactions or simulations [3][5]. - The industry consensus indicates that humanoid robots are likely to become the mainstream form of deployment, making the data collected from them more valuable and sustainable over the long term [5]. Group 2: Data Collection Systems - **Xinghai Data Collection System**: This system creates a complete closed-loop platform for data collection, management, and annotation, utilizing standardized robotic platforms to gather high-quality, multi-modal data. The Galaxea Open-World Dataset, released in August, has been downloaded 400,000 times and covers over 50 real-world scenarios, totaling 500 hours and exceeding 10TB in size [6]. - **Leju Data Collection System**: Comprising four core modules, this system supports two types of humanoid robots for diverse scene coverage and collaborative tasks. It has established six training sites nationwide, producing 20 million high-quality data points annually [8][9]. - **Luming Robotics Data Collection System**: The FastUMI Pro system focuses on high precision and efficiency, achieving a data effectiveness rate of over 95%. It aims to collect over 1 million hours of UMI data by 2026 [11][12]. - **Zero Point Data Collection System**: This system integrates various modal sensors to capture complete modal information, ensuring compatibility with existing algorithms and long-term data value [14][15]. - **Daimeng Robotics Data Collection System**: The DM-EXton2 system features force/tactile feedback, enhancing remote operation capabilities and improving data collection efficiency [17][18]. - **Pasini Data Collection System**: Showcasing a full-modal data collection system, it has established a leading data collection and model training base capable of producing nearly 200 million high-quality data points annually [20][21]. - **Yuejiang Data Collection System**: Utilizing the ATOM-M multi-modal robot, this system aims to streamline the data collection process and reduce training time significantly [23][25].

Core Viewpoint - YaoLe Technology has completed nearly 100 million yuan in Pre-A round financing, led by Yinfeng Lanxiu Fund, with funds aimed at expanding production lines, overseas market development, and core technology iteration to strengthen its global leadership in flexible fabric tactile sensors [1] Group 1: Company Overview - YaoLe Technology, established in 2015, is a pioneer in flexible fabric pressure sensor research in China, focusing on high-sensitivity tactile perception capabilities for machines and environments [2] - The company has achieved mass production delivery of its flexible fabric tactile sensor solutions across multiple sectors, including automotive, consumer electronics, and embodied intelligence [2][4] Group 2: Product and Market Strategy - The company provides end-to-end solutions for B-end clients, including sensor design, customized hardware and software development, and intelligent algorithm output, facilitating product intelligence upgrades and competitive differentiation [4] - YaoLe Technology is building a "1+N" health perception product ecosystem for consumers, integrating flexible sensing technology into daily high-frequency scenarios such as sleep, office, and sports, with products like smart mattresses and insoles [6] Group 3: Technical Team and Innovation - The technical team has a strong background in smart interaction and machine perception, with the CEO having experience in leading multimodal sensor fusion platform development at Harman [7] - The core R&D team includes members from top institutions like the Chinese Academy of Sciences and the University of Michigan, ensuring leading capabilities in technology innovation and service quality [8] Group 4: Market Opportunities - The flexible tactile sensor market is rapidly growing, becoming a common requirement across multiple trillion-yuan sectors, driven by its unique properties such as flexibility, multi-dimensional perception, durability, and low cost [9] - YaoLe Technology's technology platform can serve various industries, including automotive and consumer electronics, at lower marginal costs, establishing scale advantages in multiple fields [11]

Core Insights - The article highlights the significant achievement of Kuka Technology, which has become the global leader in sales of boundaryless robotic lawn mowers as certified by Frost & Sullivan for the period from July 2024 to June 2025 [3][5]. Group 1: Market Position and Product Development - Kuka Technology has established a strong competitive barrier in the robotic lawn mower market since its founding in 2016, focusing on innovations such as RTK high-precision positioning and four-wheel drive technology [6]. - The company has expanded its market reach, selling products in over 30 countries and serving more than 400,000 users, consistently ranking at the top of sales charts on platforms like Amazon in Germany, France, and the United States [6]. - The recent recognition as the top brand in sales marks a pivotal transition for Kuka from a market participant to an industry leader [5][6]. Group 2: Product Philosophy and Innovations - At CES 2026, Kuka introduced a new product philosophy centered on "precision adaptation" rather than mere technological accumulation, emphasizing tailored solutions for diverse lawn environments [9]. - The flagship model, LUBA 3 AWD, features a groundbreaking "three-fusion positioning system" that combines 360° LiDAR navigation, dual-camera AI vision, and NetRTK precision correction, addressing common environmental challenges faced by existing solutions [14][16]. - Kuka's AWD technology allows the LUBA 3 AWD to navigate steep slopes and complex terrains effectively, showcasing its superior off-road capabilities [16]. Group 3: Expanded Product Matrix - Kuka unveiled a comprehensive product matrix at CES 2026, including the LUBA mini 2 AWD series and YUKA mini 2 series, designed to cater to various lawn care needs [11][17]. - The LUBA mini 2 AWD series is the world's first vision-driven all-wheel-drive robotic mower, capable of autonomous lawn mapping without boundary installation [17]. - The YUKA mini 2 series targets small to medium-sized lawns, offering flexible navigation options and a simplified operation mode for cost-effective lawn maintenance [17]. Group 4: Strategic Expansion into New Markets - Kuka's ambitions extend beyond lawn care, as evidenced by the introduction of the SPINO S1 Pro, a robotic pool cleaner that won the CES Innovation Award in 2026 [20]. - The SPINO S1 Pro features an "AutoShoreCharge" system that allows it to autonomously return to its charging station after cleaning, marking a significant advancement in pool cleaning technology [22]. - This expansion into pool cleaning signifies Kuka's strategy to build a comprehensive outdoor robotics ecosystem [24]. Group 5: Future Outlook and Strategic Direction - Kuka aims to avoid the pitfalls of technological homogenization by focusing on user needs and continuous product iteration driven by user insights [31]. - The company's entry into the commercial lawn care market is a strategic extension of its consumer-level success, leveraging accumulated technology and user insights to solidify its leadership position [31]. - Kuka's journey from obscurity to global leadership illustrates a growth path centered on technological innovation, user demand, and strategic foresight [31].

Core Viewpoint - The introduction of the Saros Rover, a wheeled-legged robotic vacuum cleaner, represents a significant innovation in the industry, enhancing mobility and cleaning capabilities beyond traditional designs [1][3][4]. Group 1: Product Features - The Saros Rover can navigate various types of stairs, including traditional, curved, and carpeted stairs, thanks to its leg design, which increases its range of motion and climbing ability [6]. - It utilizes a direct-drive hub motor, providing high balance and dynamic response, allowing it to navigate slopes and obstacles effectively [8]. - The robot can switch between wheeled and legged movement based on environmental conditions, enabling it to traverse complex terrains and avoid obstacles like pet waste [9]. Group 2: Technical Aspects - The combination of wheels and legs is not merely additive; it involves a highly integrated sensor system and intelligent decision-making algorithms [11]. - The robot's ability to quickly perceive and react to its environment is crucial for navigating multi-dimensional spaces, as demonstrated in a video showcasing its ability to dodge a thrown tennis ball [12]. Group 3: Market Potential and Challenges - The innovative design has potential applications beyond residential cleaning, including commercial real estate, hospitals, and factories, where complex cleaning requirements exist [9]. - However, the complexity and cost of the technology may limit its initial market to high-end or commercial sectors, with speculations of a price exceeding $3,000 [14]. - Reliability and noise control during operation pose significant challenges, as the mechanical legs may produce sounds that could be unacceptable to users [14].

近日，北京灵生科技有限公司（简称 "灵生科技"）宣布成功完成Pre-A & PreA+两轮亿元融资，上市公司领 投、产业集团和财务机构跟投。所募资金将主要用于其核心产品L系列人形机器人的规模化量产交付、真实场 景数采治理平台（LDP）、具身世界模型（LWM）的持续迭代以及产业生态的加速拓展。 灵生科技成立于 2023年2月，由清华系团队创立，是一家专注于具身智能机器人研发的创新企业。公司致力 于打造人形及具身智能机器人的通用大脑平台，通过完全自研的真实场景数采治理平台LDP和具身世界模型 LWM，提升机器人的智能水平与操作泛化能力，目前已应用于智能制造、无人零售、医疗康养等多个领域， 并与多家国内外头部厂商及央企达成订单合作。 在产品方面， 灵生科技推出了 L系列人形机器人，其具备26个自由度并搭载6自由度机械臂，基础操作精度 达到0.05毫米，结合具身世界模型后更可提升至±0.03毫米，能胜任3C制造、物流仓储、分拣搬运等高精度 工业场景。 同时，公司构建了云-边-端一体化类脑系统"Ling Cybrain/Ling Brain"，作为机器人的"中枢神 经"，该系统支持基础动作泛化、任务自动化编排、世界模型 ...

Core Viewpoint - The article discusses the release of the largest and most generalized open dataset for embodied intelligence, "10Kh RealOmni-Open DataSet," by JianZhi Robotics, which aims to accelerate the development of household robots through high-quality, real-world data [1][10]. Group 1: Dataset Overview - The dataset consists of over 1 million clips and more than 10,000 hours of embodied data, making it the largest in the industry [1][11]. - It focuses on 10 common household tasks, ensuring that each skill has over 10,000 clips, which provides extensive coverage for individual skills [3][5]. - The dataset is designed to be practical, emphasizing skill depth rather than merely expanding the number of skills [3]. Group 2: Data Quality and Specifications - The dataset features high-quality visuals with a resolution of 1600x1296 and a frame rate of 30 fps, recorded using a large FOV fisheye camera [4][5]. - It achieves centimeter-level trajectory precision, enhanced to sub-centimeter accuracy through high-precision IMU hardware and cloud reconstruction [4][13]. - The dataset includes diverse scenarios and natural human actions, collected from 3,000 real households, addressing the limitations of traditional data collection methods [8][10]. Group 3: Data Production and Automation - JianZhi Robotics has developed a complete data production chain, enabling rapid data collection and processing, accumulating nearly 1 million hours of data in just two months [10][14]. - The Gen DAS Gripper facilitates efficient data collection without the need for extensive site preparation, while the Gen Matrix platform ensures high-precision trajectory alignment and data quality [13][14]. - The Gen ADP automates the data annotation and processing workflow, allowing for continuous and rapid production of high-quality data [14]. Group 4: Importance of Open Data - The article emphasizes the necessity of open data to bridge the data gap, unify technical standards, and lower research and development barriers, ultimately accelerating the transition of embodied intelligence from laboratory settings to practical applications [16]. - The release of the "10Kh RealOmni-Open DataSet" is seen as a significant resource for innovation through data sharing, contributing to a positive feedback loop of data sharing, model optimization, and real-world application [16].

想象一下，让机器人抓取一支笔、一个苹果，或一个造型奇特的玩具，需要做什么？ 过去的答案是：为每个物体编写专用代码、进行数小时的示教训练、在仿真环境中反复调试，最后战战兢兢地 在真实世界中测试 ， 因为 一个细微的光线或角度变化，就可能导致失败。 而现在的答案， 可以是一句简单的自然语言指令。 在星海图最新发布的「万物抓取」 Demo中，用户只需对机器人说"请拿起那个红色的积木"或"把桌子上的马 克杯递给我"，搭载G0 Plus模型的机器人便能理解、定位并执行。 这看似简单交互的背后，是具身智能 从 "模型展示"迈入 " 可直接体验与部署 " 的新阶段的最好证明。 1月4日，星海图正式发布端到端双系统VLA模型G0模型的升级版—— G0 Plus ，并同步上线全球首个 开箱 即用的 VLA 模型体验 Demo—— 「万物抓取（ Pick Up Anything） ， 完整展示了从语言理解、视觉感知 到真实机器人动作执行的闭环能力。 星海图似乎正尝试 回答一个 对不少企业而言异常 刺耳的问题： "智能" 到底价值几何 ？ ▍ Zero-shot能力突破的技术本质 在机器人大讲堂此前的采访中，有专家直言： 2025 ...