Core Insights - The article highlights the significant challenges in the robotics field, particularly in developing dexterous hands, which are considered more difficult to master than basic locomotion [1] - By 2025, the market for dexterous hands is expected to see a substantial increase, with sales surpassing 10,000 units and a market size that has grown several times year-on-year due to strong capital inflow and investment [1] Group 1: Technology Routes - Three main technical routes have been explored to achieve human-like dexterity in robots: direct drive, linkage drive, and tendon-driven systems, each with its own advantages [2] - The direct drive solution features high precision and fast response, with finger bending taking only 0.3 seconds and achieving sub-millimeter precision [3] - Leading companies in the direct drive sector include Zhaowei Electromechanical, which has innovated with a micro hollow cup motor, and X-Dawn Era, which has developed a fully direct drive dexterous hand with 12 degrees of freedom [7][8] Group 2: Challenges in Dexterous Hand Development - The development of dexterous hands faces three major challenges: data acquisition, material durability, and heat dissipation [17] - The intelligence of dexterous hands relies heavily on vast amounts of real-world operational data, with companies like Linkerbot and Lingxin Qiaoshou actively working to build extensive datasets [21] - Material durability is a critical issue, with companies like Qingdao High Measurement and Shandong Daye making breakthroughs in developing long-lasting materials for tendon systems [23] - Heat dissipation is a significant concern as high-power density motors generate heat that can affect performance; companies are developing integrated thermal management solutions to address this [24] Group 3: Market Dynamics and Future Outlook - As of March 2025, the number of dexterous hand companies in China has exceeded 40, indicating a dominant position in the global market [25] - The industry is moving towards a convergence of technology routes, focusing on performance, cost, and reliability, while still allowing for differentiated solutions in specific applications [26] - The upcoming FAIR plus 2026 event in Shenzhen will showcase advancements in dexterous hand technology and provide a platform for industry collaboration [28][29]

当追觅在展会上揭开其 " 首款四足轮腿结构服务机器人 " 的面纱时，舆论场迅速分裂： 一派赞叹其 " 从单一 清洁到全能管家 " 的野心，另一派则对其 " 无头 " 的具身智能 设计投以困惑的目光。 然而，这种 " 全能 " 叙事暴露了产品定义的根本缺陷： 试图用一个物理实体解决所有问题，结果很可能每个 功能都沦为鸡肋 ， 这 本质是核心功能的失焦 。 清洁能力必然妥协：双臂结构与可升降腿部在越障时，必然干扰传统扫地机最优的吸尘路径与重心布局 ， 为 兼容机械臂运动，尘盒容量、风机功率可能被压缩，导致核心清洁能力不升反降 ， 为了实现兼容，体积会越 做越大。 这到底是扫地机器人 一次基于第一性原理的进化， 还 是一次在技术幻想、市场焦虑与形态迷茫中诞生的尴尬 产物 ？ ▍ 形态的 " 创新 "？ 追觅为这款产品描绘了一幅宏伟蓝图：清洁、收纳、监护、送药 …… 几乎囊括了家庭服务的所有想象。 在这款产品上， " 伪通用 " 与 " 真专业 " 的悖论 很明显。 识别 280 种物体与 0.1 秒避障，在实验室令人惊叹，但在真实家庭中，孩子丢在地上的袜子、半开的抽屉、 反光的瓷砖 地板 ，每一个都是边缘案例的噩梦 ...

当 "具身智能" 成为科技界最炙手可热的词汇，当人形机器人纷纷从实验室走向聚光灯下的舞台，一位 科学 家出身的 创业者却将目光投向了那些 最 不 起 眼，甚至最危险的角落 ——工厂的质检台和幽深的矿井之下。 他，就是 张正涛，灵宝 CASBOT的创始人兼董事长。 从中国科学院自动化研究所的前沿探索，到工业质检 领域的十年深耕，再到如今具身智能赛道的领 航 ， 他 打通了从顶尖科研到产业一线的完整链路， 身上沉淀 着一种贯通理论与实践的独特履历。 这种独特的背景，让灵宝 CASBOT 从诞生之初就刻上了 "聚焦场景落地" 的基因 。在 张正涛的蓝图中，机 器 人 要 从 舞 台 展 示 走 向 产 业 一 线 ， 成 为 真 正 创 造 价 值 、 解 放 人 类 的 " 劳 动 者 " 。 今 天 ， 他 正 带 领 灵 宝 CASBOT，以 "具身质检" 和 "具身 矿 工" 两大概念为利刃，劈开通往新型工业化的未来之路。 ▍ 20 年产业 长征 ：打通从科研到落地的最后一公里 要理解灵宝 CASBOT为何能精准切入工业腹地，必须将时钟拨回到2007年。那时， 作为 中国科学院自动化 研究所 的博士生 ，张 ...

一支机械臂握住你的手，不是强行拖动，而是感知你的笔锋走势，从你的起笔习惯开始，带你一步步写出工整 汉字。 有没有想过，机器人不仅能搬东西、做手术，还能当你的书法老师？近日，一项名为 TeachingBot 的自适应 机器人教学系统在国际顶级期刊《 IEEE Robotics and Automation Letters 》 上 亮相。它通过物理交互， 教人类学习者书写汉字，能真正看懂每个人独特的书写习惯，然后手把手地、循序渐进地教你写出漂亮的汉 字。研究团队来自香港岭南大学数据科学学院、新加坡国立大学计算机学院以及生物医学工程系，结合了跨学 科的创新力量，推动了机器人技术在教育领域的应用。 这项技术如何看懂你的写字习惯？又是如何做到因材施教？ ▍ 教育困境：当一对一教学难以规模化，机器人能成为解药吗？ 传授书法、绘画、运动等精细动作技能，传统上高度依赖师徒间手把手的亲身指导。这种模式的瓶颈显而易见 ， 优秀师资有限，成本高昂，难以普惠。 让机器人来教？挑战更大。尤其在 教人写字这个事上 ，挑战更为具体 。 第一个难关是看不懂 。 每个人的字迹都是独特的生物密码，笔画长短、倾斜角度、连笔习惯千差万别。机器 人若 ...

Core Viewpoint - The article highlights the emergence of the elderly care robot industry as a significant opportunity driven by supportive policies, technological advancements, and increasing demand, with 2026 expected to be a pivotal year for the sector [1][5][30]. Policy Support - Eight government departments jointly issued measures to foster the development of elderly care service operators, marking the official arrival of the elderly care robot trend [1]. - The policy encourages technological innovation and product development in elderly care robotics, focusing on daily care, emotional support, and social assistance for the elderly [3]. - A comprehensive policy framework has been established, transitioning from mere encouragement to substantial support, including pilot programs and standardization [5][6]. Market Dynamics - The elderly care robot industry is experiencing a "triple dividend" of policy support, technological maturity, and explosive demand, revealing a market potential worth trillions [5]. - By 2025, government procurement is projected to account for 28% of the elderly care robot market, acting as a significant growth engine [11]. - The elderly population in China is expected to exceed 20% by 2031, intensifying the demand for innovative care solutions [13]. Technological Advancements - The article emphasizes the importance of integrating advanced technologies such as AI, robotics, and smart home systems to provide comprehensive support for the elderly [3][30]. - Innovations in product design and functionality are being driven by the need to address specific challenges faced by the elderly, such as mobility and emotional companionship [15][19]. Consumer Trends - There is a notable shift in consumer preferences among the elderly, moving from basic needs to a focus on quality, safety, and usability of elderly care robots [20]. - The willingness to pay a premium for high-quality products has increased significantly, with 57% of users willing to pay more for superior features by 2024 [20]. Industry Challenges - The elderly care robot industry has faced challenges such as high costs, reliability issues, and low user acceptance, which have hindered widespread adoption [23]. - Recent advancements in domestic manufacturing and innovative business models, such as rental and insurance services, are helping to lower costs and improve accessibility [26][23]. Future Trends - The industry is expected to evolve towards more specialized products tailored to specific needs, integrating AI for proactive service delivery, and creating an ecosystem that combines hardware, services, and insurance [31][33]. - The article predicts that the elderly care robot market will transition from niche technology to a mainstream necessity, driven by policy support, technological breakthroughs, and increased market acceptance [35][36].

近年来，海洋强国建设受到国家高度重视，水下机器人正逐渐成为海洋环境感知、资源探索和应急 救援中 的 关键核心装备 。然而，现有的传统水下机器人往往面向特定场景任务设计，普遍存在运动方式单一、环境适 应性有限、任务灵活性不足等问题，在复杂非结构化水域环境中存在明显的局限性。与之形成鲜明对比的是， 自然界中各种各样的鱼类却展现出丰富的运动方式：有的通过鳗状游动，更加节能高效；有的依靠胸鳍游动， 在狭窄空间中依然灵活机动。这不禁引发我们的思考：水下机器人能否 " 师法自然，取其精华 " ，将鱼类多 样运动方式所蕴含的优势融入同一机器人系统，从而突破传统水下机器人的能力限制？ 带 着 这 样 的 思 考 ， 北 京 大 学 谢 广 明 教 授 团 队 在 国 际 期 刊 《 Science Advances 》 发 表 研 究 论 文 "Self- reconfigurable robotic fish swarms: collective achievement of diverse locomotion and challenging aquatic tasks" ，提出了一种模块化自重构机器鱼群系统。在这一系统 ...

Core Viewpoint - The CES 2026 highlighted the contrasting narratives of the US and Chinese robotics industries, with US companies focusing on future possibilities while Chinese companies emphasize practical applications and market readiness [2][7]. Group 1: Narrative Differences - US companies, exemplified by Boston Dynamics, dominate the "future narrative," showcasing robots as potential future industrial and societal solutions, emphasizing capabilities and transformative potential [3]. - In contrast, Chinese companies like Yuliqi Robotics focus on practicality, asking whether their robots can be used, sold, and effectively deployed in real-world scenarios [5][7]. Group 2: Performance and Practicality - Chinese companies are pursuing two distinct paths: one led by Yushun Technology, which aims for high dynamic performance in humanoid robots, and another by Yuliqi Robotics, which prioritizes practical applications in specific commercial settings [8][12]. - Yuliqi's robots demonstrate real-world capabilities, such as bartending and cleaning, emphasizing reliability and continuous operation rather than flashy demonstrations [10][12]. Group 3: Market Validation and Delivery - Yuliqi has achieved significant milestones, including delivering 100 robots in a month, marking a transition from prototypes to scalable production [13]. - The company has secured substantial interest from international clients, with potential orders reaching hundreds of millions, reflecting market validation of its technology and business model [12][13]. Group 4: Strategic Focus - Yuliqi's approach is characterized by a focus on specific high-value commercial scenarios, such as hospitality and property management, rather than pursuing broad general-purpose platforms [17][18]. - The design philosophy of Yuliqi's Wanda robot emphasizes efficiency and reliability in indoor environments, avoiding direct competition with high-performance humanoid robots [20]. Group 5: Conclusion and Industry Evolution - The CES 2026 serves as a turning point, indicating that Chinese robotics companies are transitioning from being mere technology demonstrators to serious commercial partners [21]. - The coexistence of performance-driven and practical-focused companies reflects the maturation of the robotics industry, with Yuliqi's success highlighting the importance of delivery capabilities in gaining market trust [21].

在全球制造业向数字化、智能化深度转型的浪潮中， AI技术已从前沿探索进阶为驱动产业升级的核心引擎。然而，在质量管控、模型开发与场景落地等关键环节， 企业依然面临AI开发门槛高、流程碎片化、现场协同弱、部署运维难等共性痛点。传统AI应用模式往往过于"沉重"，要么依赖高薪算法团队从头开发，要么采购的 通用工具与工业现场水土不服，导致许多企业"想上AI却不敢上"。这种理想与现实之间的鸿沟，恰恰揭示了当前工业智能化进程中的一个核心矛盾：技术潜力巨 大，但落地路径不畅。 在此背景下，视比特机器人正式发布其核心软件平台 —— 翔云AI开发运维平台 。该平台并非单一工具，而是 由Agent 智能体 驱动、构建的智能化操作系统 。它 通过智能体间的协同，完整覆盖了从 "AI构建-协同管理-终端执行" 的全链路闭环，实现了 Agentic AIOps 的 前沿 理念。 那么 它 是 如何打破传统束缚，将 AI从"分散的实验"转化为"规模化的生产力"？ 今天，机器人大讲堂 深入拆解 了 其中逻辑。 ▍ 定位与痛点：翔云为谁而生？ 据 翔云平台产品负责人指出，翔云 平台 是聚焦工业场景的 AI全生命周期一体化方案， 平台核心由 " ...

Core Viewpoint - The article discusses the emergence of "Ai Qiao," the world's first emotional interaction humanoid robot, which aims to serve as an emotional companion rather than a labor replacement, highlighting a shift in focus within the humanoid robotics industry [1][4][20]. Group 1: Industry Context - The humanoid robotics industry is at a crossroads, with many companies focusing on labor replacement and industrial applications, while "Ai Qiao" chooses to address emotional needs [5][26]. - The industry is experiencing a technical "involution," where companies compete on physical capabilities rather than addressing real human needs, leading to a disconnect between technology and everyday life [6][12]. - The global AI companionship market is projected to grow significantly, from $30 million currently to between $70 billion and $150 billion by 2030, indicating a strong demand for emotional support solutions [12]. Group 2: Ai Qiao's Unique Approach - "Ai Qiao" is designed to recognize at least 14 human emotions with an accuracy of over 85%, utilizing a unique ELA model that focuses on emotional interaction rather than physical task execution [9][17]. - The robot features advanced hardware with 59 degrees of freedom in facial expressions and 32 degrees in its body, allowing for nuanced emotional responses and interactions [11][19]. - The design philosophy emphasizes emotional resonance over mere functionality, aiming to create a robot that can genuinely respond to human emotions and needs [20][26]. Group 3: Application Scenarios - "Ai Qiao" targets several high-emotional-value sectors, including cultural tourism, elder care, service environments, and family settings, positioning itself as a companion rather than a tool [20][23]. - In cultural tourism, it serves as an interactive storyteller, enhancing visitor experiences by providing local insights in a relatable manner [20]. - In elder care, it addresses the shortage of caregivers by offering continuous emotional support without requiring users to wear devices, thus preserving their privacy [23]. Group 4: Future Outlook - The development of "Ai Qiao" represents a long-term commitment to refining emotional interaction capabilities through continuous testing and feedback in real-world applications [33]. - The company aims to build trust with users by demonstrating the robot's effectiveness in complex environments, thereby validating its emotional interaction approach [24][25]. - The ultimate goal is to create a robot that enhances human life by providing companionship and emotional support, rather than merely replacing human labor [30][34].

自然界中的鱼类是天生的游泳健将。从复杂环境中的灵活穿梭，到捕食瞬间的 "爆发式"冲刺，它们似乎总能 完美适应环境。在自然界中，鱼类展现出高度适应环境的运动能力：它们既能在复杂地形中灵活穿梭，也能在 捕食和逃逸时实现爆发式高速推进。 金枪鱼高速冲刺 (High-speed） ▍ 鱼类游动的秘密：身体 "用多长"很重要 这种能力来源于鱼类对身体波动方式的精细调控。根据身体参与波动的长度比例不同，鱼类演化出了鳗鲡科模 式、亚鲹科模式、鲹科模式和金枪鱼模式 4种 BCF 游动方式。随着参与摆动的身体区域逐渐向尾部集中，鱼 类的游动速度和呈现出显著提升。 其中，鳗鲡类鱼通过全身波动获得极高的机动性，但游动速度较低；而金 枪鱼类则通过增强躯干刚度、将摆动集中于尾柄和尾鳍区域，在高速条件下仍能保持卓越的推进效率。 ← 灵活性更高 (More Maneuverable) | 速度更高 (Higher Speed) → 长期以来，一个核心科学问题尚未得到充分阐释： 为何仅依靠尾部摆动的金枪鱼能够实现高频高速推进，而 全身波动的鳗鲡科鱼类却受到限制？ 除形态与结构因素外， 参与波动的身体长度（即肌肉招募比例） 被认为是关键但长期 ...