Core Viewpoint - The article discusses the entrepreneurial journey of two Tsinghua University alumni, Mo Yilin and Jin Ge, who founded Lingyu Intelligent, a startup focused on practical applications of remote operation robotics, aiming to address industry challenges and create a cost-effective solution in the robotics sector [4][41]. Company Overview - Lingyu Intelligent was established in February 2024, focusing on high-quality remote operation technology, offering low-latency, high-precision, and user-friendly robotic systems [5][18]. - The company aims to create a "Model 3" in the robotics industry, emphasizing practicality and affordability over high-end luxury products [20][22]. Founders' Background - Mo Yilin, the founder and chief scientist, has an impressive academic background, including a PhD from Carnegie Mellon University and postdoctoral work at Caltech [7][10]. - Jin Ge, the CEO, has extensive experience in high-tech venture capital and corporate management, previously serving as a managing partner at Yuanjing Venture Capital [9][14]. Technology and Product Development - Lingyu Intelligent has developed a complete remote operation system addressing two major industry pain points: operational difficulty and data collection challenges [19][20]. - The system consists of three core modules: the TeleAvatar remote operation robot, the CyberBraceletVR device for user interaction, and the TeleDroid intelligent control platform [19][20]. - The TeleAvatar robot is priced under 100,000 RMB, making it accessible for various commercial applications [22][39]. Market Strategy - The company adopts a gradual development approach, starting with remote operation and aiming to achieve higher levels of human-robot collaboration over time [23][30]. - Lingyu Intelligent's business strategy includes a five-tier pyramid approach, focusing on research and data collection as the foundation, followed by specialized industries and eventually targeting household applications [33][34]. Financial Backing and Growth - Lingyu Intelligent secured its first funding before officially registering, with significant investments from Inno Angel Fund and other venture capitalists [16][18]. - The company completed a seed round financing of over 10 million RMB in May 2024, followed by another round three months later [18][19]. Industry Context - The article highlights the current enthusiasm in the robotics sector, with a growing market for practical applications of robotics technology [45]. - Lingyu Intelligent's approach contrasts with many competitors focused on fully autonomous robots, positioning itself as a pragmatic player in the industry [28][41].

智能涌现 . 直击AI新时代下涌现的产业革命。36氪旗下账号。 以下文章来源于智能涌现 ，作者邱晓芬 打造高精度、低延迟、高易用性的 遥操作机器人。 文 ｜ 邱晓芬 编辑 ｜ 苏建勋 来源｜ 智能 涌现（ ID： AIEmergence) 封面来源 ｜ 企业官方 一句话介绍： "灵御智能"由清华+卡内基梅隆背景团队打造，以高质量遥操作技术为核心，推出万元级、低延迟、高精度、高易用性的遥操作机 器人系统，通过"卖本体-卖数据-卖能力"三步走策略，试图解决具身智能数据卡点，推动机器人快速落地服务业与工商业。 团队介绍： 创始人&首席科学家莫一林，现任清华大学自动化系长聘副教授，曾任新加坡南洋理工大学EEE系助理教授。其教育背景是清华 自动化系学士、卡内基梅隆大学计算机工程系博士、加州理工学院博士后，师从美国工程院院士、机器人操作领域先驱 R.M.Murray教授。 CEO金戈同样毕业于清华大学自动化系，兼具高科技领域创业投资与企业管理双重经验：曾担任远镜创投管理合伙人、奥量光子 副总裁，擅长推动技术从实验室走向商业化落地。 融资进展： "灵御智能"近期正式完成千万元级种子+轮融资，本轮由华映资本领投，老股东英诺天 ...

Core Insights - Lingyu Intelligent, founded by a team with backgrounds from Tsinghua University and Carnegie Mellon, focuses on high-quality remote operation technology to develop a cost-effective, low-latency, and high-precision remote operation robot system aimed at addressing data bottlenecks in embodied intelligence and promoting rapid deployment in service and industrial sectors [1][4]. Team Overview - The founder and chief scientist, Mo Yilin, is a tenured associate professor at Tsinghua University with a strong academic background in automation and robotics, having studied at Tsinghua, Carnegie Mellon, and Caltech [2]. - CEO Jin Ge also graduated from Tsinghua University and has experience in both high-tech entrepreneurship and investment management, previously holding positions in venture capital and technology companies [2]. Financing Progress - Lingyu Intelligent recently completed a seed round financing of over 10 million yuan, led by Huaying Capital, with participation from existing investors including Inno Angel Fund and Tsinghua Waterwood Investment [3]. Products and Business Model - The company has developed a comprehensive remote operation embodied intelligence system addressing industry pain points related to robot operation and data collection, consisting of three core modules: hardware, user-side devices, and a control platform [4]. - The TeleAvatar robot is designed for lightweight and practical use across various scenarios, while the CyberBracelet VR device aims to lower the operational threshold for users, with future plans for more cost-effective wearable products [4]. - The TeleDroid control platform supports low-latency data transmission and high-precision motion control, with the robot priced around 70,000 yuan, making it accessible for small and medium-sized projects [4]. Business Strategy - Lingyu Intelligent has a clear commercialization path through a three-step strategy: selling hardware to quickly capture market share, selling data to create a data barrier, and eventually selling capabilities to provide intelligent solutions [6][7][8][9]. Competitive Advantages - The company has achieved breakthroughs in both latency and cost, with its remote operation system demonstrating image latency as low as 100 milliseconds and operational latency of only 50 milliseconds, meeting the demands of high-precision applications [10]. - The pricing strategy keeps the TA Lite model under 100,000 yuan, significantly lower than similar devices, while the VR data collection solution is priced at around 1,000 yuan, addressing the high costs and limitations of traditional methods [11]. Founder Insights - Mo Yilin emphasizes that remote operation is a necessary step towards fully autonomous robots, highlighting the importance of user-friendly designs for accumulating high-quality data [14]. - He notes that the global robotics field lags in data volume compared to other sectors, facing challenges in quality, efficiency, and cost, and stresses the irreplaceable value of real machine data [15]. - The future trend in data collection is shifting towards VR devices, which balance cost and precision while aligning with human operational habits, positioning them as a core method for future robotic data collection [16].