在灾难搜救、工业巡检、狭小空间勘探等场景中，无人机一直被一个 "先天缺陷" 限制：机身固定、无法变 形，遇到比自身更窄的缝隙就只能束手无策。如果无人机能像蛇一样灵活变形，在飞行中主动收缩、扭转身 体，是不是就能轻松穿越废墟通道、管道间隙和复杂建筑？ 近年来，一类全新的机器人—— "浮动基座多连杆机器人"的新型飞行器 正在将这一设想变为现实。这类机 器人由一个主体（浮动基座）和多个通过关节连接的连杆组成，它们可以在飞行中调整关节角度，从而改变 整体外形。然而，要让这些机器人在复杂环境中安全、高效地导航，面临着一个巨大的挑战： 如何为它们规 划出一条既避开障碍、又符合物理规律、还能顺利改变形状的飞行轨迹？ 近日，一项来自东京大学的研究提出了一个创新的解决方案，为这类机器人赋予了在狭小空间内灵活机动的 智慧。这项研究的核心，是一个名为 "分层轨迹规划框架" 的系统。它巧妙地利用了机器人本身的特性，将 复杂的规划问题化整为零，最终让机器人能够直接从原始的传感器数据中，自主生成一条安全、可行的飞行 路径。 难题：高维空间里的"穿针引线" 01. 为什么为这种可变形的机器人规划路径如此困难？ 首先，传统刚性机器人的路径规 ...

2月26日，由自治区政府主办的"东盟门户·湾区腹地—2026广西（香港）推介会"在香港举行，共叙 情谊、共商合作。自治区党委书记、自治区人大常委会主任陈刚，香港特别行政区行政长官李家超出席 活动并致辞，共同见证相关协议签约。中央政府驻港联络办副主任张勇，自治区政协副主席、自治区党 委秘书长周异决，外交部驻香港特别行政区特派员公署副特派员李永胜出席活动。 推介会上还举行项目签约仪式，在陈刚、李家超等领导共同见证下，自治区港澳事务办公室和香港 特别行政区政府民政及青年事务局签署《桂港两地青年交流交往合作备忘录》、自治区大数据发展局和 香港特别行政区政府数字政策办公室签署《桂港人工智能合作备忘录》等，当天共签约项目24个，涉及 人工智能、跨境金融、经贸投资、园区合作等领域。推介会前，陈刚等还会见重要商协会和企业代表， 参观"AI出海"主题展区。 香港行政会议召集人叶刘淑仪，中国旅游集团董事长、香港中国企业协会会长王海民，以及香港特 别行政区政府有关部门、国际调解院等国际组织、商协会的有关代表和自治区有关厅局的负责同志，华 润集团、招商局集团、中国太平保险集团、紫荆文化集团、香港中旅国际投资有限公司等央企负责同 志， ...

杭州初创企业宇树科技——2025年曾以同步舞蹈人形机器人惊艳观众——今年更突破极限，推出能完成 跑酷动作并模仿成龙经典《醉拳》风格的机器人队伍。银河通用(Galbot)展示了能折叠衣物的机器人模 型，魔法原子(Magiclab)等公司的产品亦在年度盛典的舞蹈和喜剧环节亮相。2026年总台春晚全国电视 直播总收视份额创13年来新高。 据悉，速腾聚创(2498.HK)2月19日发布盈利预告，预计2025年第四季度将首次实现单季度盈利，且盈利 不少于人民币6000万元，大大超出管理层此前做出的盈亏平衡预期，标志着公司经营进入新阶段。分析 指出，此次盈利超预期，得益于公司在机器人业务领域的领先布局与技术产品优势。数据显示，2025年 其机器人领域激光雷达销量突破30.3万台，同比激增超11倍，登顶全球第一。 据彭博，机器人再度成为中国春晚焦点，它们在喜剧小品中亮相，随华语流行乐起舞，更如武术大师般 在墙壁间腾跃。优必选科技、越疆、速腾聚创等机器人企业股价上周五(20日)应声上涨，逆势走高。这 并非市场首次对机器人能力公开展示的热潮作出积极反应。春晚作为中国收视率最高的电视节目之一 ——常成为中国科技初创企业的跳板。 ...

Core Viewpoint - The evolution of humanoid robots is moving from performance in controlled environments to practical applications in real-world scenarios, emphasizing the need for robots to understand and predict physical interactions [5][6][26]. Group 1: Humanoid Robot Performance - The performance of humanoid robots at the Spring Festival Gala has shown significant advancements, with previous years featuring coordinated movements and complex formations [1][2]. - This year's robots demonstrated a level of agility and responsiveness that suggests a breakthrough in their control algorithms and hardware integration [5]. Group 2: Challenges in Real-World Applications - Despite advancements, the transition from staged performances to real-world applications remains challenging, as robots must navigate unpredictable environments like factories and homes [5][6]. - Current humanoid robots lack the ability to understand physical laws, which limits their effectiveness in dynamic settings [13][22]. Group 3: VLA Paradigm and Industry Anxiety - The dominant paradigm for embodied intelligence is the Visual-Language-Action (VLA) model, which is currently highly competitive [7]. - Companies like Ant Group and Horizon are developing advanced VLA models that enhance spatial awareness and adaptability across different robotic configurations [8][10]. Group 4: Transition to World Models - The industry is recognizing the need to evolve from VLA to embodied world models that allow robots to simulate and predict physical interactions [14][15]. - Ant Group's LingBot-World is a notable example, providing a high-fidelity simulation environment for robots to learn and adapt without real-world consequences [16]. Group 5: Impact on Industry Scalability - The shift from action mapping to physical pre-simulation is expected to reduce the data requirements for training new skills significantly, from thousands of examples to just 30-50 [23]. - Robots equipped with predictive capabilities have shown a high success rate in complex tasks, achieving over 91% in multi-task scenarios [24]. Group 6: Conclusion and Future Directions - The journey of humanoid robots is transitioning from mere demonstrations to practical applications, with a focus on understanding physical laws and improving operational capabilities in real-world environments [26][28]. - The ongoing debate about the best approaches for robotic intelligence continues, with various strategies being explored to enhance performance in unpredictable settings [27].

Core Insights - The article discusses a breakthrough in robotic vision systems, specifically a bionic adaptive pupil reflex visual system developed by teams from the University of North Carolina and Westlake University, which utilizes liquid metal technology to create a dynamic, self-adjusting pupil [2][3]. Group 1: Pupil Functionality - The new system can mimic various animal pupil shapes, such as vertical for cats and horizontal for sheep, allowing for better light regulation and image clarity. It improves image recognition accuracy from 68.38% to 83.56% in bright conditions [3][8]. - Traditional machine vision systems have fixed apertures, leading to overexposure or reliance on computational fixes, which are less efficient compared to the new hardware-based approach [4][12]. Group 2: Liquid Metal Technology - Liquid metal serves dual purposes: it acts as a programmable bionic pupil and simulates neural signals. The system can change shape based on electrical input, allowing for rapid adjustments to light conditions [5][12]. - The design involves eight independently controlled liquid metal units that can transform into various pupil shapes within two seconds, showcasing a significant advancement in hardware capabilities [5][12]. Group 3: Visual Memory and Recognition - The system incorporates a visual memory feature, where repeated exposure to visual stimuli allows for prolonged retention of light signals, akin to human short-term memory transitioning to long-term memory [7][12]. - In tests using the MNIST dataset, the adaptive pupil system significantly enhanced recognition rates under simulated overexposure conditions, demonstrating the effectiveness of hardware intervention over algorithmic solutions [8][12]. Group 4: Practical Applications - The implementation of this adaptive pupil system in robots can enhance their functionality in various scenarios, such as autonomous driving, security patrols, and search and rescue operations, by allowing real-time adjustments to lighting conditions without manual recalibration [12][12].

Core Viewpoint - The article highlights the significant investment activities and fund establishment in the LP market, particularly focusing on the recent large-scale fund signing event in Nanjing, which showcases the government's commitment to fostering innovation and supporting various industries through substantial financial backing [6][7]. Group 1: Fund Establishments and Investments - The 2026 Zijinshan Venture Capital Conference in Nanjing resulted in the signing of funds totaling over 70 billion yuan, including various specialized funds such as the Jiangsu Province Modern Service Industry Innovation Development Fund and the Jiangsu Province Sci-tech Relay Fund, each with a scale of 10 billion yuan [6]. - A notable highlight is the launch of the "Nanjing 100 Billion Market-oriented Mother Fund," which has a 20-year investment horizon, allowing it to support companies from the lab stage to IPO, thus promoting deep integration of capital and industry [6][7]. - The establishment of 15 artificial intelligence industry chain funds and 9 angel investment funds totaling 4.7 billion yuan reflects a comprehensive approach to covering the entire lifecycle of investments from early-stage to mergers and acquisitions [6][9]. Group 2: Regional Focus and Strategic Initiatives - Nanjing's rich educational resources and strong manufacturing base provide fertile ground for venture capital activities, with the launch of the "Zijinshan International Sci-tech Fund District" aimed at bridging capital and academic research [8]. - The Nanjing government has outlined a policy to create a fund cluster exceeding 200 billion yuan, emphasizing a "one industry, one fund" model to support key industries, which was a significant driver for the recent fund signing event [7][8]. Group 3: Specific Fund Highlights - The Guangdong Nanchuan Intelligent Manufacturing Venture Capital Partnership was established with a capital contribution of 21.3 million yuan, marking a notable entry of a cultural industry group into the hard technology venture capital space [11]. - The establishment of the 10 billion yuan "Guangzhou Nansha High-Quality Development Equity Investment Fund" indicates a strategic expansion into the seed industry, following previous investments in leading breeding companies [14]. - The 20 billion yuan low-altitude economy industry fund launched in Chongqing aims to capitalize on the region's unique strengths, despite its smaller scale compared to other cities [16]. Group 4: Emerging Trends and Future Directions - The establishment of the 30 billion yuan AI industry development fund in Hubei's Ezhou district signifies a growing trend of local governments investing in technology-driven sectors to enhance regional economic development [17]. - The launch of the 100 billion yuan "Kinfengrong Aerospace and Marine Fund" in Hunan reflects a strategic focus on advanced technologies and industries, aiming to address the gap between research capabilities and industrial application [18]. - The establishment of the "Yanmingshan Lake Fund" by Yanshan University aims to support early-stage technology projects, highlighting the importance of academic institutions in driving innovation and commercialization [19][20].

Group 1 - The core viewpoint of the news highlights the positive performance of the robotics sector, with the National Robotics Industry Index rising by 0.7% and significant gains in individual stocks such as Kelaimechatronics and Dingzhi Technology [1] - The launch of the "Tiangong Walker DEX," a full-size humanoid research robot developed by Beijing Humanoid Robot Innovation Center and UBTECH, marks a significant advancement in stability, motion control, and autonomous operation, catering to various research and educational scenarios [1] - CITIC Securities emphasizes that the robotics industry is at a critical juncture, transitioning from "technological vision" to "industrial reality," which involves a competition of computing power, algorithms, and precision manufacturing, as well as a strategic long-distance race concerning national will and institutional efficiency [1] Group 2 - The National Robotics Industry Index focuses on humanoid robots and core components, covering companies like Sanhua Intelligent Control and Lingyi iTech, which together account for approximately 80% of the index, leading other similar indices [2] - The E Fund Robotics ETF (159530) is currently the largest ETF tracking this index, facilitating investors' access to core enterprises within the humanoid robotics industry chain [2]

Group 1 - The core viewpoint of the article highlights significant advancements in AI technology and its applications across various sectors, including video generation, robotics, and e-commerce [3][5][16]. - The release of Seedance 2.0 by Doubao Video Generation Model marks a notable step in AI-driven content creation, with plans for further improvements based on human feedback [3]. - Starry Sky, a company founded by a 34-year-old Tsinghua graduate, achieved a valuation of over 10 billion yuan within 28 months, indicating rapid growth in the embodied intelligence sector [7][9]. Group 2 - Zhao Ming, former CEO of Honor, is set to join Qianli Technology as co-chairman, focusing on AI business model strategies [11]. - ByteDance's AI chip team has expanded to over 1,000 members, reflecting the company's increasing emphasis on chip development to meet growing computational demands [11]. - Grab reported a net profit of $200 million for the year, reversing a previous loss, with a 20% revenue growth to $3.37 billion [16]. Group 3 - Anthropic raised $30 billion at a valuation of $380 billion, positioning itself among the most valuable private tech companies globally [16]. - Apptronik completed a $520 million financing round, with notable investors including Google and Mercedes-Benz, indicating strong interest in humanoid robotics [16]. - Xiaomi announced the open-sourcing of its first-generation robot VLA model, showcasing advancements in visual language understanding and real-time execution capabilities [18].

Core Viewpoint - UBTECH Robotics has launched the "Tian Gong Xing Zhe DEX," a full-size humanoid research robot, in collaboration with the Beijing Humanoid Robot Innovation Center, showcasing significant advancements in stability, motion control, and autonomous operation capabilities [1] Group 1: Product Features - The robot features enhanced stability and motion control, as well as improved coordination between its physical and cognitive functions [1] - It is designed with characteristics of agility, ease of use, and versatility, catering to four core groups in research and education [1] - The robot provides differentiated empowerment solutions that are precisely tailored to various research and educational scenarios [1] Group 2: Developer Support - The robot is supported by the "Hui Si Kai Wu" general-purpose intelligent platform, which offers a complete toolkit for secondary development [1] - This toolkit enables global developers to efficiently complete customized development and implement research projects [1]

当春晚烧钱=注意力炒作主机厂入局=跟风凑热闹量产=骗局的论调在行业蔓延，我们似乎陷入了一种为了批 判而批判的偏见漩涡。 2026年的人形机器人赛道，真的如某些观察所言那般虚火旺盛？其实未必。 如果剥开片面解读的外壳，那 些被诟病的问题，恰恰是产业成长的必经之路；那些被否定的动作，背后藏着深层的战略逻辑，仅需以事实 为剑，就能逐一戳破这些流传甚广的行业误读。 01. 春晚1亿入场券是否有必要？ 把企业上春晚等同于烧钱买曝光，显然低估了这件事的核心价值。 央视的舞台从来不是单纯的商业广告位， 而是国家层面对技术可行性的隐性认可.能登上春晚的机器人，必然经过了稳定性、安全性的多重检验，或者 在某种环境/调试下，可以"撑得起台面"，这种官方背书的公信力，是再多营销费用也买不来的。 十年前优必选借春晚出圈，后续能成为行业龙头，靠的不是一次曝光，而是春晚带来的持续品牌信任度，让 其在B端市场拿下大量订单；宇树去年借春晚热度，后续在工业巡检场景实现小批量落地，这才是注意力经 济的本质： 曝光是敲门砖，技术落地才是落脚点。 02. 供应链红利下的顺势而为 在部分观点中，把汽车主机厂做机器人说成抄特斯拉作业凑热闹，本质上依然选 ...