用什么词语能形容本届北京世界机器人大会（WRC）？第一个词可能是"翻番"。 2024年WRC上，人形机器人合计的展出数量已经达到了27款。而今年，参展WRC的厂商数量超过200 家，光人形机器人厂家数量就超过了50家。各类展品则合计达到1500件，高出去年900件；新品发布100 余件，数量较去年翻倍。 第二个词可能就是"疯狂"。 50000平方米的北人亦创中心，三天之中日日人潮涌动。合计130万报名参观者，不仅有从业者，爱好 者，甚至还有耄耋老者，垂髫孩提等等。人流最多之时，热门展区之前，几乎人人接踵，寸步难行。 然而，若要问此次WRC的意义，记者观察后却发现，喧嚣背后，参展的从业者们，却又意外的头脑清 晰。 俨然已经是"明星"的宇树科技CEO王兴兴，本次大会上罕见地进行了一次媒体会。在"长枪短炮"的围攻 下，王兴兴透露：宇树科技的目标，不光是让机器人成为"演员"和"运动员"，而是真正成为"打工人"， 成为"生产力"。 不仅是王兴兴，许多参展者，都表达了类似的观点。 毫无疑问，机器人在WRC演出行将谢幕。接下来，它们会纷纷选择拿起"锤子"。 "演"出新高度 每年WRC都有几个"主演"。今年WRC"演出"的主 ...

能旋转360度，稳稳落地的动力十足的人形机器人；可以相互协作，自主完成试管取样、测试等20多个精细步骤的具身智能机器人；能像人手一样直 接"感知"物体大小等物理信息的灵巧手……在2025世界机器人大会上，机器人展示了更加灵活的"肢体"、敏捷的"小脑"、智慧的"大脑"，并且它们身上的一 些核心零部件实现了国产，展现了我国机器人产业全链条创新能力。 与上届大会相比，仅一年时间，参展的人形机器人整机企业就从27家增长到50家，机器人展品数量从600多件增长到1500余件，新品数量从60件增加到 100余件。具身智能机器人开始走进工业、农业、零售、居家服务等更加丰富的应用场景。迅速迭代的背后是从中央到地方，对培育发展机器人作出的一系 列部署，政策端市场端同频共振。目前，我国在北京、上海、浙江等多地分别成立了国家地方共建及各类省级机器人创新中心，在核心技术、本体研发、模 型开源、数据等方面推动技术共享与联合攻关，形成产学研用深度融合的生态体系。 央视网消息（新闻联播）：2025世界机器人大会正在北京举行，百余款机器人新品集中发布，展示了我国具身智能产业发展的强劲动能。 ...

机器人赛道迎来利好政策。 重磅发布 8月11日消息，杭州市司法局发布公开征求《杭州市促进具身智能机器人产业发展条例（草案）》）意 见的公告，将具身智能机器人产业纳入全市政策支持框架，通过制度设计增强政策合力，进一步规范产 业高质量发展路径。 《条例》指出，面对当前研发训练需求和未来具身智能机器人的广泛应用需求，要求加强网络和算力基 础设施规划布局，建立多元智算供给服务体系，提升算力资源利用效率，降低算力使用成本。 《条例》明确核心技术主攻方向，聚焦具身智能"大脑"（具身智能大模型）、"小脑"（运动控制系统） 及"本体"（机器人核心部件和整机）三大核心以及专用芯片等"卡脖子"环节，具体来看： 在"大脑"研发方面，支持开展具身智能模型的研发和应用，提升多模态感知融合、人机交互、任务规 划、决策控制、仿真训练等关键技术水平，提高具身智能模型的可靠性、稳定性、安全性和可解释性。 在"小脑"研发方面，支持开展具身智能机器人运动控制系统的研发与应用，提升惯性导航系统姿态感 知、全身动力学控制算法、感控结合的全身协同算法等关键技术水平，提高具身智能机器人在复杂环境 下的运动协调与精准控制能力。 在"本体"研发方面，支持开展 ...

Core Insights - Embodied intelligence is a hot topic this year, transitioning from previous years' silence to last year's frenzy, and now gradually cooling down as the industry realizes that embodied robots are far from being productive [1] Group 1: Industry Trends - The demand for multi-sensor fusion and positioning in robotics is significant, with a focus on SLAM and ROS technologies [3] - Many robotics companies are rapidly developing and have secured considerable funding, indicating a promising future for the sector [3] - Traditional robotics remains the main product line, despite the excitement around embodied intelligence [3] Group 2: Community and Resources - The community has established a closed loop across various fields including industry, academia, and job seeking, aiming to create a valuable exchange platform [4][6] - The community offers access to over 40 technical routes and invites industry leaders for discussions, enhancing learning and networking opportunities [6][20] - Members can freely ask questions regarding job choices or research directions, receiving guidance from experienced professionals [83] Group 3: Educational Content - Comprehensive resources for beginners and advanced learners are available, including technical stacks and learning roadmaps for autonomous driving and robotics [13][16] - The community has compiled a list of notable domestic and international research labs and companies in the autonomous driving and robotics sectors, aiding members in their academic and career pursuits [27][29]

Core Insights - The 2025 World Robot Conference was held in Beijing, showcasing the advancements in industrial and humanoid robots by Zoomlion Heavy Industry Science & Technology Co., Ltd. [1] - Zoomlion is recognized as a leader in intelligent manufacturing and has been an early adopter of robotic technology in the engineering machinery sector since 2006 [1][2]. Group 1: Company Developments - Since 2019, Zoomlion has implemented adaptive robots with perception and mobility capabilities, including visual and tactile sensing robotic arms and autonomous mobile robots (AMRs) [2]. - The company has integrated over 300 intelligent manufacturing production lines in its Changsha facility, utilizing more than 2,000 industrial robots for various processes, ensuring full lifecycle traceability and scheduling through QR codes [2]. - Zoomlion has developed three models of humanoid robots, including two wheeled and one bipedal version, with several units already operational in factory settings for tasks such as logistics, assembly, and quality inspection [2]. Group 2: Future Vision and Strategy - The company envisions a new production model through the collaborative evolution of hardware and software, transitioning from large-scale agile manufacturing to personalized single-piece customization in future smart factories [3]. - The integration of humanoid robots into factories requires a reevaluation and optimization of manufacturing processes and management systems, focusing on automation, digital transformation, and intelligent governance [3]. - Zoomlion's strategic alignment with national priorities on embodied intelligence positions it to drive the collaborative operation of industrial and humanoid robots, expanding the boundaries of intelligent manufacturing and reshaping development patterns in the engineering machinery industry [3].

传统的人形机器人面临感知局限、决策断层、泛化瓶颈三大核心挑战。 在世界机器人大会上,宇树CEO王兴兴一口气提了不少"非共识"。他对 VLA (Vision-Language-Action视 觉-语言-动作)模型持怀疑态度, 认为这属于"相对傻瓜式架构"；他还说机器人行业对数据关注度有点太 高了，包括灵巧手在内的硬件虽然不够好但够用，行业最大的问题在于具身智能的AI完全不够用。 王兴兴的观点在业内持续引发讨论。今日世界机器人大会上，记者留意到，国家地方共建人形机器人创 新中心首席科学家江磊近20分钟的演讲中，3次提到了王兴兴。 对于王兴兴关于"硬件足够用、大模型不够用"的观点，江磊分享了与阿里、华为等企业交流的体 会："我们是选不到一个很好的身体"，并坦承今天行业确实还用不上全参数模型，机器人的大脑、小 脑、肢体需要深度协同；王兴兴质疑VLA并尝试用视频生成驱动机器人任务，江磊承认"感知-认知-决 策-执行的闭环尚未闭合"，呼吁重构VLA模型，寻求新的解决范式；王兴兴还提到，机器人在RL（强 化学习）的Scaling law（尺度定律）是非常值得做的方向，江磊认同表示，强化学习跟模仿学习都需要 进入Scalin ...

面对当前研发训练需求和未来具身智能机器人的广泛应用需求，草案要求加强网络和算力基础设施规划布局， 建立多元智算供给服务体系，提升算力资源利用效率，降低算力使用成本。 杭州具身智能机器人产业迎利好。 杭州市司法局8月11日起公开征求《杭州市促进具身智能机器人产业发展条例（草案）》（以下简称"草 案"）。该草案提出，根据具身智能机器人产业的技术特性与发展规律，针对不同智能化等级、应用场景分类 的具身智能机器人产品及服务，探索构建分级分类监管体系与沙盒监管机制，建立包容审慎、鼓励创新的监管 生态，激发各类主体创新活力。 当前是具身智能机器人技术密集创新和高速发展的战略机遇期、黄金窗口期，杭州凭借良好的产业基础和创新 生态，在以人形机器人、四足机器人为代表的智能机器人整机研发制造以及生成式人工智能、空间智能等人工 智能技术创新方面已形成先发优势。据统计，杭州已集聚机器人相关企业超200家，在智能机器人运动控制算 法、多模态交互等关键领域处于国内领先水平。 草案要求，将具身智能机器人产业纳入杭州市政策支持框架，通过制度设计增强政策合力，进一步规范产业高 质量发展路径。 超前布局具身智能机器人基础设施 具身智能机器人产业 ...

Core Insights - The article highlights the significant influence of Tsinghua University alumni in the Chinese internet and AI sectors, with a notable concentration of entrepreneurial activity in Shenzhen [1][12] - As of the end of 2024, there are 97 companies listed on the Science and Technology Innovation Board, Beijing Stock Exchange, and Hong Kong Stock Exchange, with a total market capitalization of 3.8 trillion yuan, showcasing the financial impact of the "Tsinghua system" [12] - Tsinghua University is recognized as the leading institution in cultivating AI entrepreneurs in China, with a focus on various fields including large models, autonomous driving, AI chips, and embodied intelligent robots [1][12] Tsinghua Alumni and AI Entrepreneurship - Zhizhu AI, founded in 2019, is the first among the "Big Six" AI companies to initiate an IPO process, with strong ties to Tsinghua University through its leadership [2] - The "Big Six" AI companies are predominantly founded by Tsinghua alumni, indicating the university's substantial contribution to China's AI landscape [2] - The shift from "All in AI" to "AI for All" and "AI in All" reflects the evolving nature of AI integration into daily life, with Tsinghua entrepreneurs actively participating in this transition [2] Shenzhen as a Hub for Tsinghua Alumni - Shenzhen is emerging as a central point for Tsinghua alumni, driven by the concentration of alumni and potential collaboration opportunities with local enterprises and professors [3] - The synergy between AI software and hardware is particularly strong in Shenzhen, where many AI companies are looking to leverage the city's hardware advantages [3][4] - The robotics sector in Shenzhen has seen rapid growth, with over 74,032 companies as of last year, marking a 39.64% increase from the previous year [4] Robotics Industry Growth - The robotics industry in Shenzhen is characterized by a significant presence of Tsinghua alumni, with many companies founded by graduates from the university [4][6] - Notable companies include Dahuang Robotics and Xingji Guangnian, both founded by Tsinghua alumni, showcasing the university's influence in the robotics sector [4][6] - The emergence of new startups, including Zero Point Robotics, indicates a trend of younger Tsinghua graduates entering the robotics field [5] Technology Transfer and Innovation - Tsinghua University leads in technology transfer among Chinese universities, with a reported contract amount of 3.45 billion yuan from 120 approved projects in 2023 [8][9] - The university's alumni network plays a crucial role in facilitating technology transfer and collaboration, enhancing the innovation ecosystem [9] - The establishment of a supportive alumni network fosters trust and collaboration among entrepreneurs, which is vital for startup success [9] Investment and Funding Landscape - Zero Point Robotics recently completed significant funding rounds, highlighting the active investment environment surrounding Tsinghua alumni ventures [10][11] - Investment firms associated with Tsinghua alumni, such as Lihua Science and Technology, are instrumental in supporting startups through various funding stages [10][11] - The interconnectedness of technology, industry resources, and capital within the "Tsinghua system" creates a multiplier effect for innovation and entrepreneurship [10]

4D 空间智能重建 是计算机视觉领域的核心挑战，其目标在于从视觉数据中还原三维空间的动态演化过程。这一技术通过整合静态场景结构与时空动态变化，构建 出具有时间维度的空间表征系统，在虚拟现实、数字孪生和智能交互等领域展现出关键价值。 当前研究主要围绕两大技术维度展开： 基础重建层面聚焦深度估计、相机定位、动态点云等底层视觉要素的精准提取；高阶理解层面则致力于解析场景组件的时 空关联与物理约束。 这种多维度的空间建模能力正成为新一代人工智能发展的基础设施——无论是构建具身智能的环境认知体系，还是训练具备物理常识的世界模型，高保真的 4D 空 间表征都发挥着基石作用。 值得注意的是，前沿研究正从单纯的几何重建转向对 场景物理属性 和 交互逻辑 的建模，这种转变使得空间智能不仅能呈现视觉真实的动态场景，更能支撑智能 体与虚拟环境的拟真交互。 为了填补关于 4D 空间智能重建分析的空白，南洋理工大学 S-Lab、香港科技大学以及德州农工大学的研究者们全面调研了该领域的发展和最前沿的研究方法，撰 写了综述论文，对 400 余篇代表性论文进行了系统归纳和分析。 Paper：Reconstructing 4D Spatial ...

在人形机器人赛道加速狂奔的当下，核心零部件的性能与量产能力始终是制约行业落地的关键瓶颈。 其中， 机器人灵巧手作为人形机器人的核心功能部件 ，在其中占据了重要地位，目前也是人形机器人板块技术迭代 最快的部件。 中商产业研究院数据显示， 2024 年灵巧手市场容量为 76.01 万只，随着灵巧手功能持续完善，叠加下游人 形机器人的放量，预计 2025 年灵巧手市场容量将达 86.18 万只，对应市场规模为 19.21 亿美元 。而 根 据 QYResearch 预测， 2030 年全球机器人多指灵巧手市场规模将超过 50 亿美元， 2025-2031年CAGR 为68.7% 。 2025 年世界机器人大会（ WRC ）上， 机器人大讲堂注意到， 中国初创企业曦诺未来 就 带来 了 三 款 突破性 产品 ，包括 全球首款全自研量产的 25 自由度腱绳传动灵巧手 ， 扭矩密度最 高 可 达 322Nm/kg 的关节模组 和 推力密度最 高 可达 5.2N/g 的 微型 电缸 ， 硬核参数领先国际顶尖水平，为行业提供了一 套从技术原理到工程落地的完整解决方案。 ▍ 8 个月崛起：技术积累的 " 厚积薄发 " 全球首款 ...