更快一步的 "中国 1X "来了！ 它赢的方式，可能和所有人想的不一样。 1 月 12 日，成立仅三年的家庭通用机器人公司【未来不远（ Futuring Robot ）】宣布完成 2 亿元人民币天 使轮融资，刷新了家庭机器人赛道的早期融资纪录。本轮融资由真格基金领投，联新资本、源来资本及掌门部 分老股东跟投。 在资本趋于理性的当下，这笔高额融资背后，是一组硬核数据： 产品已 进入 200 余个真实家庭测试，累计 服务超 21238 小时，用户试用满意度达 96.8% 。这似乎暗示，家用机器人的初代竞争逻辑正在发生变化。 ▍ 翼哥的 " 阳谋 " ： 用互联网思维， 把实验室搬进客厅 【未来不远】的发展路线从一开始就坚定明晰 —— 不做炫技 的 PPT 公司，而是成为第一个真正走进成百上 千个中国家庭的通用机器人 企业 。 这个务实的理念直指风险资本在硬科技投资中最看重的本质。 它的 故事始于 2022 年 ， 创始人张翼，此前最为人熟知的身份是在线教育公司掌门教育的 CEO 。从互联网 教育跨界 而来， 非技术背景出身，这本身就是一个信号。他带来的可能不是顶尖的机器人学术背景，而是一 套截然不同的思维：以用户 ...

机器人大讲堂获悉，近日 自变量机器人完成 10亿元A++轮融资 。本轮融资由字节跳动、红杉中国、深创 投、北京信息产业发展基金、南山战新投 、 锡创投等顶级投资机构及多元地方平台联合投资。据悉，这也是 深创投 AI基金成立以来的第一笔投资。 值得注意的是，在 2025年， 自变量 更是以每轮数亿元的规模连续完成四轮融资 。 在截至目前的多轮融资 中，已 成为 国内唯一一个同时获得字节、阿里和美团 这 三大互联网大厂投资的具身智能企业。 跨领域资本的协同下注，既凸显了资本市场对具身基础模型重要性的集体共识，同时也印证了对自变量技术领 先性与发展潜力的深度认可。 为何资本纷纷青睐自变量？ 答案在于其全球领先的 自研 "机器人大脑"技术实力与日益清晰的商业化前景。在人工智能从数字世界迈向物 理实体的关键阶段，自变量机器人凭借核心 自研能力 ，正逐步撬动一个全新的产业生态。 ▍ 聚焦自研 ：打造全球顶尖的 "机器人大脑" " 通用具身大模型是独立于数字世界的基础模型，就像大语言模型在数字世界具有重要地位一样，具身大模型 在物理世界也将起到关键作用。 " 在一次演讲中，自变量创始人王潜谈到。 具身智能赛道再迎资本重磅加 ...

一种新型自适应刚软混合履带，让机器人在水陆之间轻松穿梭。 在仿生机器人接连取得突破之际，中国团队完成了一项关键的能力融合。他们成功研制出全球首个能稳健实现 水空界面无缝穿越的仿生攀爬机器人。 这项来自西安交通大学研究团队的突破性成果，于近期发表在国际权威期刊 《 Science Advances 》 上， 为解决机器人如何在复杂多变、甚至充满风险的真实环境中稳定工作这一难题，提供了一个精巧的仿生学方 案。 ▍ 现实难题：现有爬墙机器人，本领单一怕跨介 在我们的设想中，理想的作业机器人应该是个全能选手。 它既能在地面巡查，也能在墙壁、天花板上攀爬；既能在干燥的室内工作，也能潜入水下执行任务；面对金 属、玻璃、瓷砖等不同材质的表面，都应能全盘吸收，牢牢吸附。 磁吸附： 只能认准铁磁性表面。 负压吸附： 需要光滑密封的表面，一旦漏水漏气就失效，且能耗很高。 仿壁虎干性粘附： 在干燥环境下表现优异，但一到水下就抓瞎。 仿章鱼吸盘： 在水下是一把好手，离开水后吸附力便大打折扣。 更关键的是，当机器人需要从水下爬到空中，或从空中进入水下时，能力就全然丧失。就例如从池塘里浮出水 面进行观测，动态变化的浮力、阻力以及介质转换 ...

在微尺度光调控、微流控等前沿应用中， 如何在有限空间内实现精确、可逆且可编程的结构调控 ，已成为智 能材料与微系统领域的重点突破方向。相比传统机械或电驱动方案，磁控柔性微器件因其非接触、远程操控、 响应迅速且易于集成的优势，展现出独特潜力。然而，其性能高度依赖于 对微小结构内部磁畴分布的精细编 程 ，目前仍面临效率低、复杂度高的问题。针对这一挑战，西交大联合团队提出了一种基于应力辅助预变形 的磁化策略，直接利用激光直写层间应力来完成微磁畴的精密编程，并首次将其用于构建 可磁控旋转的微型 单元阵列 ，实现了透光率连续可调的智能遮光功能。相关研究成果以《 Programmable Magnetization of Small-scale Soft Kirigami Pads via Interlayer Stress for Light Modulation 》为题，于 2026年1月4日发 表在国际顶级学术期刊《Advanced Functional Materials》（IF:19.0） 光线的调控在智能家居、光学仪器等领域至关重要。传统的调光器件往往依赖复杂的机械结构或慢速的环境响 应材料。近日，西安交通大 ...

中国工程院院刊，建设世界一流期刊，让工程造福人类，科技创造未来。 以下文章来源于Engineering ，作者马楠、李德毅 等 Engineering . 在无人驾驶领域，车道跟踪、车辆流量监控、变道辅助及车道保持等技术已得到广泛应用。但无人驾驶系统仍 面临一个根本性挑战：构建人与车之间的双向认知协同。无人车不仅需要准确理解人类行为，其决策也需能被 人类及时理解，二者缺一都会损害可信性。 为此，无人车必须具备深度的情境理解、自然的交互、持续的学习能力，才能建立真正的可信赖性。然而，驾 驶场景是高度动态、碎片化且无穷尽的，因此，无人车如何在这些日益复杂的真实场景中实现持续进化，构成 了其迈向真正智能化的最后一道难关。 近日，清华大学李德毅和北京工业大学马楠作为通讯作者在中国工程院院刊《 Engineering》期刊上发表"无 人驾驶具身交互智能"的研究论文，提出了无人驾驶具身交互智能理论框架，通过跨媒体感知、机器学习、认 知计算和生成式人工智能等技术，构建与物理世界统一的智能表达与学习方法。 该研究创新性地构建了端到端感知 -认知-行为闭环反馈范式，使无人车不仅能交互、会学习、可信任，更能 在日常驾驶中遇到的每 ...

Core Insights - The robot industry is experiencing unprecedented growth, with a market size surpassing 100 billion and an annual growth rate exceeding 20% [1] - There is a widening information gap in the industry, highlighting the need for a professional platform that can provide in-depth analysis and insights [1] - The "Robot Lecture Hall" serves as a leading vertical media platform in China, boasting over 1 million precise users and covering the entire industry chain [1] Industry Opportunities - The robot industry is at a historic turning point, with both domestic and international giants investing heavily [1] - The lack of a comprehensive platform for deep analysis presents a unique opportunity for content creators and analysts [1] Platform Advantages - Joining the "Robot Lecture Hall" allows individuals to be at the forefront of observing the robot industry [2] Recruitment Needs - The company is seeking talent across five major sectors, including media, short video production, planning, think tank consulting, and government relations [4][7] - Specific roles include deputy editor, lead writer, and various positions in short video and planning sectors [4][7] Media Sector Roles - The media sector requires individuals with experience in technology media or related fields, capable of producing original content and tracking industry trends [5][8] Short Video Sector Roles - The short video sector is looking for content planners and operators who can create engaging video content and manage social media accounts effectively [9][11] Planning Sector Roles - The planning sector seeks individuals who can conceptualize and execute brand events, ensuring alignment with brand identity and messaging [13][15] Think Tank Consulting Roles - The think tank consulting sector requires senior researchers and industry analysts who can conduct in-depth policy analysis and produce comprehensive reports [16] Government Relations Roles - The government relations sector focuses on establishing and maintaining connections with various government levels to align company resources with governmental needs [17] Company Background - The "Lide Robot Platform" has been a prominent service provider in the robot industry for 10 years, offering various professional services to over 300 leading companies [20][22] - The platform has a strong focus on the development of the robot industry, particularly in key regions like Beijing, Shanghai, and Hangzhou [22]

Core Viewpoint - The definition of "consumer-grade" in the robotics field is undergoing a significant recalibration, evolving from merely low-cost toy robots to a new category that provides a complete user experience, functioning reliably in unstructured home environments, and meeting safety and aesthetic requirements [1] Group 1: Challenges in Consumer Robotics - The journey of consumer-grade robots entering homes has faced numerous challenges over the past decade, with many products failing to meet user expectations due to their limited functionality and interaction capabilities [4] - The complexity and emotional dimensions of home environments have led to fragmented and implicit demands, causing the industry to struggle with finding effective entry points for consumer-grade robots [4][5] - The industry has seen a shift since the end of 2025, with companies like Songyan, Lexiang, and others making attempts to break into the consumer market from various dimensions [4] Group 2: Vbot's Market Impact - Vbot has emerged as a leading company in bringing consumer-grade products into homes, achieving record sales and engagement metrics, including over 10.5 million live viewers during its launch and sales exceeding 10 million yuan within 19 days [7][8] - The Vbot phenomenon reflects a significant shift in the industry, marking a transition from technology showcases to actual commercial orders, driven by a focus on user needs and real-life applications [11][12][17] Group 3: Technological and Market Trends - The success of Vbot is attributed to the convergence of technological advancements, market readiness, and supply chain capabilities, allowing for the integration of AI and robotics into everyday life [12][14] - The Vbot team, comprising over 60% members from the consumer electronics and automotive sectors, has successfully combined user experience with safety and reliability standards in its product development [16] Group 4: Vbot's Competitive Advantages - Vbot's core selling points include its intelligent features, robust hardware performance, safety and emotional design, and its role as a physical space AI assistant, which collectively create a strong competitive barrier [19][20][22][24] - The product's design prioritizes safety and user interaction, ensuring it is perceived as a trustworthy family member rather than just a tool [22][24] Group 5: User Engagement and Operational Strategy - Vbot's pre-sale success is not only due to its innovative product definition but also its comprehensive user engagement strategy, which includes building a transparent and iterative user feedback loop [26][27][28] - This approach emphasizes long-term user relationships and operational service, moving beyond merely selling hardware to creating a sustainable ecosystem around the product [26][28] Group 6: Industry Outlook - The year 2026 is anticipated to be a pivotal point for consumer-grade embodied intelligence, transitioning from diverse explorations to large-scale commercialization, driven by technological maturity and improved user perceptions [30][31] - Vbot's achievements have set a new benchmark for the industry, highlighting the importance of user experience and clear value propositions in achieving widespread adoption [31][32]

Core Insights - The article discusses the launch of the world's first embodied Agentic OS, named LimX COSA, developed by LimX Dynamics from Shenzhen, China, which enables robots to think and act simultaneously [1][25] - The system allows the humanoid robot Oli to perform complex tasks autonomously, overcoming the traditional limitations of robots that could only execute pre-programmed instructions [1][3] - The focus of the industry is shifting from model capabilities to OS system capabilities, paving the way for the transition from technology demonstrations to actual product delivery [1][25] Group 1: Unique Features of COSA - COSA integrates the robot's cognitive and motor functions, creating a real-time feedback loop that enhances its ability to adapt to the physical world [3][6] - Unlike competitors that simply attach a "general brain" to robots, COSA serves as a complete operating system, akin to Android or iOS, capable of supporting numerous applications and driving physical AI [3][18] - The continuous operation capability of COSA allows Oli to perform tasks seamlessly, demonstrating a significant advancement over segmented demonstrations by other systems [3][19] Group 2: Technical Structure of COSA - COSA is built on a three-layer structure: the foundational model for whole-body control, a high-level skills layer, and an autonomous cognitive and decision-making layer [8][12] - The foundational layer ensures stable and reliable atomic actions, allowing the robot to perform complex movements without relying on pre-trained actions [9][23] - The high-level skills layer connects cognitive functions with motor control, enabling the robot to adapt its actions based on environmental feedback and task requirements [11][20] Group 3: Core Capabilities of COSA - COSA endows robots with advanced cognitive and reasoning abilities, allowing them to dynamically decompose long-term tasks into executable sub-tasks based on situational context [20][21] - The system incorporates a semantic memory and proactive perception capability, enabling robots to build a continuous understanding of their environment and remember past interactions [21][22] - COSA facilitates real-time physical interaction, allowing robots to execute tasks smoothly while managing multiple objectives simultaneously [23][24] Group 4: Implications for the Industry - The launch of COSA represents a fundamental breakthrough in the development of embodied intelligence, showcasing China's innovative capabilities in advanced robotics [25][27] - This advancement is expected to drive the commercialization of humanoid robots by 2026, marking a significant milestone in the robotics industry [29][28]

Core Viewpoint - The article discusses the advancements in Autonomous Underwater Vehicles (AUVs) and their path planning capabilities in complex underwater environments, emphasizing the transition from traditional methods to intelligent, data-driven approaches [1][4]. Group 1: AUV Path Planning Framework - A comprehensive path planning framework for AUVs must consider three key elements: AUV motion characteristics, external environment modeling, and task optimization strategies [7]. - AUVs are modeled as six degrees of freedom (6-DoF) rigid body systems, utilizing computational fluid dynamics (CFD) combined with semi-empirical or data-driven methods to balance efficiency and accuracy in motion constraints [7][8]. Group 2: Environmental Modeling and Task Optimization - High-precision external environment modeling is crucial for path planning, with deep learning techniques effectively addressing data sparsity in underwater terrain reconstruction [8]. - Task optimization strategies focus on minimizing energy consumption for single AUVs and optimizing task allocation and communication in multi-AUV scenarios, utilizing distributed reinforcement learning and game theory to enhance collaborative operations [9]. Group 3: Traditional Algorithms in Path Planning - Traditional algorithms for AUV path planning are categorized into global and local planning, each with strengths and limitations. Global planning methods like Dijkstra and A* are effective in known environments but face challenges in high-dimensional spaces [10][11]. - Local path planning methods, such as Artificial Potential Field (APF) and Dynamic Window Approach (DWA), provide real-time obstacle avoidance but may struggle with local minima and global coherence in complex terrains [11]. Group 4: Machine Learning in AUV Navigation - The evolution of AUV path planning is shifting from rule-based to data-driven paradigms, with machine learning significantly enhancing autonomous decision-making capabilities in dynamic marine environments [12]. - Supervised learning is used for environmental feature extraction, while unsupervised learning aids in task allocation for multi-AUV systems, improving computational efficiency in resource optimization [12][13]. Group 5: Future Directions for AUV Technology - Future research aims to enhance AUV capabilities through meta-learning and lifelong learning mechanisms, enabling rapid adaptation to new environments with minimal data [16]. - The integration of multimodal perception technologies and lightweight models with edge computing is expected to improve environmental modeling reliability and real-time path planning efficiency [17].

Company Overview - Unitech Embedded, established in September 2014, focuses on the research, testing, production, and manufacturing of power electronics intelligent measurement and control equipment, serving enterprise users, universities, and research institutes [1] - The company emphasizes the integration of artificial intelligence and research and development, aiming to combine big data and AI with measurement and control systems [1] - Unitech has received multiple certifications, including high-tech enterprise certification, ISO9001 quality management system certification, and over a hundred intellectual property rights [1] Integrated Measurement and Control Concept - The integrated measurement and control system includes various components such as power level rapid prototype controllers, signal acquisition systems, and environmental chambers [2] - The system supports automatic generation of customized test reports and allows for real-time data collection and analysis [4][5] Robot Joint Dynamometer - This dynamometer is designed specifically for robots, simulating complex operating conditions to accurately collect and analyze performance data of rotating joints [9] - It provides reliable data support for design optimization and reliability verification of rotating joints [9] Linear Screw Dynamometer - The linear screw dynamometer is tailored for performance testing of linear screws, measuring key parameters like transmission efficiency and friction [14] - It features a continuous torque capacity of 200Nm and a control frequency of 1000Hz [15] Robot Leg Dynamometer - The robot leg dynamometer is specialized for testing the performance of robotic leg mechanisms, particularly for six-legged robotic dogs [19] - It can simulate various operational conditions and perform aging tests to assess load capacity and speed characteristics [19] Six-Legged Heavy-Duty Robot Dog - This innovative robot features a hybrid drive architecture combining rotating joints, linear screws, and magnetorheological joints, capable of handling loads up to 100kg [24] - The robot demonstrates exceptional shock resistance with a response time of less than 5ms and can absorb 90% of shock energy [27]