字节旗下Seed团队将招募多个机器人相关业务的一号位，包括机器人产品负责人、机器人工程技术负责 人，以及具身智能大模型负责人。这一系列动作表明，Seed在机器人及具身智能领域加速布局的决心。 （Tech星球） ...

芜湖市人民政府近日印发《"芜湖鸠兹科创湾"建设实施方案》（以下简称《建设方案》。 《建设方案》提出了2027年近期建设目标和2035年远期建设目标。根据《建设方案》，到2027 年，"科创湾"品牌全面打响，每年引育高新技术企业、专精特新企业等科创企业超2000家，集聚 各类人才超50000人，基金规模超1000亿元，芜湖成为长三角具有重要影响力的产业创新中心。到 2035 年，"科创湾"发展格局全面形成，城市功能品质更加优越更具韧性，近悦远来的创新生态充 分彰显，创新源泉充分涌流，创新成果加速转化，辐射带动城市创新层级全面跃升，成为全国一流 的"四链"融合试验区和新质生产力示范区。 《建设方案》提到，"鸠兹科创湾"坚持创新人才集聚区、科创企业培育区、"四链"融合试验区和新 质生产力示范区四大定位，在未来产业培育上坚持有所为有所不为，聚焦新能源汽车和智能网联汽 车、机器人等新兴产业及低空经济、合成生物等未来产业，推动技术创新、模式创新、产业创新， 提升自主创新能力，以高水平科技自立自强培育和发展新质生产力。 为鼓励投早、投小、投长期、投硬科技、投未来产业，发挥母基金以投促引，以投促产，推动科创 资源的全面集聚， ...

作者丨 机器之心 编辑丨 机器之心 点击下方 卡片 ，关注" 具身智能之心 "公众号 >> 点击进入→ 具身 智能之心 技术交流群 更多干货，欢迎加入国内首个具身智能全栈学习社区 ： 具身智能之心知识星球 (戳我) ， 这里包含所有你想要的。 恭喜获奖者。 RSS（Robotics: Science and Systems，机器人科学与系统会议）是机器人领域顶级学术会议，自 2005 年起每年举办一次，该会议旨在促进机器人领域的科学研究和 技术应用的发展。 今年大会已于 6 月 21 日至 25 日在美国洛杉矶举行。杰出 Demo 论文奖、杰出系统论文奖、杰出学生论文奖、杰出论文奖多个奖项已经公布。 地址：https://roboticsconference.org/program/awards/ 杰出 Demo 论文奖 论文标题：Demonstrating MuJoCo Playground 论文链接：https://www.roboticsproceedings.org/rss21/p020.pdf 论文主页：https://playground.mujoco.org/ 机构：UC 伯克利、Google ...

Core Viewpoint - The article discusses the unprecedented turning point in AI development, highlighting the rise of embodied intelligence and its potential to revolutionize various industries, including manufacturing, healthcare, and space exploration [1]. Group 1: Embodied Intelligence - Embodied intelligence is defined as AI systems that not only possess a "brain" but also have the capability to perceive and interact with the physical world [1]. - Major tech companies like Tesla, Boston Dynamics, OpenAI, and Google are actively investing in this transformative field [1]. Group 2: Technical Challenges - Achieving true embodied intelligence presents significant technical challenges, requiring advanced algorithms and a deep understanding of physical simulation, robot control, and perception fusion [2]. Group 3: MuJoCo's Role - MuJoCo (Multi-Joint dynamics with Contact) is identified as a critical technology for embodied intelligence, serving as a high-fidelity training environment for robot learning [4]. - It allows researchers to conduct millions of trials in a virtual environment, significantly speeding up the learning process and reducing costs associated with physical hardware [6]. Group 4: MuJoCo's Advantages - MuJoCo features advanced contact dynamics algorithms, supports parallel computation, and provides a variety of sensor models, making it a standard tool in both academia and industry [6][7]. - Major tech companies utilize MuJoCo for their robot research, indicating its importance in the field [7]. Group 5: Practical Training - A comprehensive MuJoCo development course is offered, focusing on practical applications and theoretical foundations, covering topics from physical simulation to deep reinforcement learning [8][9]. - The course is structured into six modules, each with specific learning objectives and practical projects, ensuring a solid grasp of embodied intelligence technologies [10][12]. Group 6: Project Examples - The course includes projects such as intelligent robotic arm control, vision-guided grasping systems, and multi-robot collaboration, allowing participants to apply their knowledge in real-world scenarios [14][21]. Group 7: Target Audience and Outcomes - The course is suitable for individuals with programming or algorithm backgrounds looking to enter the field of embodied robotics, as well as graduate and undergraduate students focused on robotics and reinforcement learning [27]. - Upon completion, participants will have a complete skill set in embodied intelligence, including technical, engineering, and innovative capabilities [28].

Core Viewpoint - The essence of exoskeleton robots is the coupling of human intelligence with external mechanical power, enhancing human capabilities for various tasks such as heavy lifting, walking, and rehabilitation [2]. Group 1: Industry Overview - Exoskeleton robots are defined as wearable intelligent structures that amplify human strength and assist in various activities, including military operations and rehabilitation [2]. - The technology integrates sensors, control systems, information processing, and mobile computing, focusing on materials, energy sources, control, drive systems, and biomechanics [2]. - The report titled "2025-2031 China Exoskeleton Robot Industry Outlook and Market Research Forecast" provides a comprehensive analysis of the industry, including market size, consumer demand, operational status, opportunities, and future prospects [2]. Group 2: Market Environment - The report utilizes data from national statistics, customs, surveys, and various databases to analyze the exoskeleton robot industry [3]. - It includes sections on product definitions, industry overview, development environment, and market conditions, covering regulatory frameworks, economic factors, and consumer behavior [3][4]. Group 3: Future Projections - The report forecasts the development of the exoskeleton robot industry from 2025 to 2031, including production volume, market size, and technological advancements [9]. - It also discusses investment opportunities and trends within the exoskeleton robot sector, highlighting potential projects and investment directions for 2024 [9].

Investment Rating - The report recommends "Buy" for companies involved in the reduction gear and screw chain sectors, specifically highlighting 福达股份 (Fuda Co.), and suggests attention to micro screw chain companies like 浙江荣泰 (Zhejiang Rongtai), 五洲新春 (Wuzhou Xinchun), and 震裕科技 (Zhenyu Technology) [90][92]. Core Insights - The downstream scenarios are driving the evolution of dexterous hands towards humanoid hands, with a broad market outlook. The dexterous hand market is expected to reach USD 1.706 billion in 2024, growing to USD 1.921 billion in 2025 and USD 3.036 billion by 2030 [2][20]. - The report identifies the main driving solutions as underactuated, external/mixed, and electric drives, with a shift from hollow cup motors to brushless gear motors [2][35]. - The transmission solutions include gear/worm gear, linkages, screws, and tendon-driven systems, each with its advantages and disadvantages, with a trend towards tendon and screw combinations for improved flexibility and precision [2][39][49]. - Multi-modal perception is established as a trend, with advancements in force/torque sensors, flexible sensors, and MEMS pressure sensors [2][59][65]. Summary by Sections 1. Dexterous Hands: The Interface Between Humanoid Robots and the External World - Dexterous hands are a type of end effector that replaces traditional tools with claws, evolving from two-fingered to five-fingered humanoid designs to meet complex application requirements [11][12]. 2. Diverse Dexterous Hand Solutions, Routes Still Unconsolidated - Dexterous hands can be categorized by degrees of freedom, drive structure, and sensing technology, with underactuated designs being more prevalent due to lower costs and broader applications [17][24][30]. 3. Future Trends from Tesla's Dexterous Hand Iteration - Tesla's third-generation dexterous hand has doubled its degrees of freedom to 22, with significant changes in motor and transmission solutions, indicating a trend towards higher flexibility and precision [84][87].

Core Insights - The event showcased over 50 robotics companies presenting innovative products, highlighting the practical applications of robots in various sectors such as industrial, medical, and service industries [9] - The robots demonstrated capabilities including inspection, cleaning, and interactive companionship, emphasizing the versatility and technological advancements in the robotics field [9][10] Group 1: Industrial Applications - Yushutech's quadruped robot has been successfully applied in intelligent power inspection and firefighting rescue scenarios [9] - Moxian Technology showcased a humanoid robot with advanced tactile sensors, enabling it to perform delicate tasks like grasping with high precision [9] Group 2: Service and Consumer Applications - The "Kirin Seat" flexible automatic charging robot from Wanxun Technology can simulate human arm movements for precise charging of electric vehicles, already deployed in automotive smart driving experiences [10] - The AI pancake-making robot from Yuanhu demonstrates an intelligent temperature control system, capable of preparing traditional Tianjin pancakes in just three minutes [10] - The Ropet robot pet from Mengyou Intelligent offers personalized interaction, learning from user engagement to develop unique personalities [10] Group 3: Environmental Applications - The "Ouka Whale Spirit" water surface inspection robot integrates multiple sensors for autonomous cleaning and monitoring of water bodies, effectively collecting debris and maintaining cleanliness [10]

Core Viewpoint - The launch of the CR 30H collaborative robot by Yuejiang Technology marks a significant advancement in the industrial automation sector, particularly for high-end manufacturing, by achieving both high load capacity and speed, setting a new performance record in its category [1][3]. Group 1: Product Features - The CR 30H collaborative robot can handle a load of 30 kg while achieving a joint speed of 300°/s, which is the highest speed known for collaborative robots in the 30 kg load category [3]. - The robot utilizes the HyperMove motion control algorithm for intelligent acceleration adjustment, resulting in a 20% increase in efficiency compared to similar models [3]. - Advanced vibration suppression algorithms are integrated to reduce vibrations and end effector jitter during high-speed operations, enhancing production stability [3]. Group 2: Technological Innovations - The CR 30H is equipped with a high-speed power engine and employs 96V medium-voltage servo drive technology, which increases power by 50% and reduces heat generation by 20% [3]. - The robot's joint stability is improved, and it offers greater adaptability for flexible production lines, making deployment more versatile [3]. Group 3: Application Areas - The CR 30H is designed for various applications, including food palletizing, automotive wheel hub handling, battery module assembly, heavy metal workpiece transfer, laser cutting operations, and semiconductor wafer handling and packaging [6]. - The robot significantly enhances production line efficiency and flexibility for medium to large workpiece handling and cross-station operations [6].

Core Viewpoint - Xiangke Intelligent has successfully completed a multi-million yuan Pre-A round of financing, with a strong lineup of investors including Century Changhe Technology Group and Qidi Star leading the investment [1][12]. Company Overview - The founder, Chen Zhen, is a serial entrepreneur in the robotics field, holding a bachelor's degree in computer science from Beihang University and a master's degree from Tsinghua University, currently a PhD student at Tsinghua University [2]. - In 2020, Chen founded Sensing Technology, which was fully acquired by Joyoung's parent company JS Global Life, after which he served as the general manager of the Shark Ninja robotics R&D center [3]. Product Development - Xiangke Intelligent's LAVA robot received the first food business license for embodied intelligent robots in Beijing last September, making it the first AI chef in the country to operate with a license [5]. - The LAVA robot can fry a plate of fries in 2 minutes and is expected to learn to make ice cream and drinks in the future [6]. - The robot has demonstrated impressive performance, operating continuously for 190 days, processing a peak of 1,732 orders in a single day, and completing over 100,000 fault-free frying tasks with an average production efficiency of 40 seconds per order, while reducing energy consumption by 62% compared to traditional equipment [7]. Future Plans - With the new financing, Xiangke Intelligent plans to promote the mass production upgrade of LAVA and initiate large-scale deployment in vertical application scenarios [9]. - The company has already signed mass production orders for thousands of units with well-known overseas chain brand clients, with deliveries set to begin in the second half of the year [9]. Market Strategy - The strategy focuses on the higher standardization of Western fast food compared to the complex processes of Chinese cuisine, making it easier to automate, which aligns with the robot's strengths in ensuring quality and consistency [11]. - The company has a clear plan for technological iteration, aiming to enhance the "machine senses" through multi-modal perception integration, evolve "machine cognition" by building a database with listed companies, and upgrade self-developed consumer-grade joint technology [11]. Investment Landscape - The investment lineup for the Pre-A round includes industry giants and well-known venture capital firms, indicating strong industrial logic behind the funding [12]. - Notable investors include Century Changhe Technology Group, which is backed by Meinian Health, and NetDragon Tianying Venture Capital, associated with the Hong Kong-listed company NetDragon [13]. - Xiangke Intelligent has also recently signed a cooperation agreement with the Tsinghua Pearl River Delta Research Institute to jointly build a core technology R&D platform for robotics [14]. Team and Experience - Chen Zhen's entrepreneurial journey has been marked by key milestones, from founding Sensing Technology in 2014 to successfully exiting in 2020, and then establishing Xiangke Intelligent at the end of 2022 [17]. - The core team consists of members from the original Sensing team, Shark Ninja team, and Joyoung team, collectively possessing over 10 years of experience in robotics and artificial intelligence R&D and management [17]. Industry Context - The rapid evolution of the robotics industry in China and globally presents opportunities for companies like Xiangke Intelligent, which focus on vertical scenarios and have clear commercialization paths [19].

（图片来源：摄图网） 6月25日，AI芯片巨头英伟达股价再创历史新高，达到154.31美元，市值跃升至3.76万亿美元，成功重 登全球市值第一的宝座。背后是英伟达在AI领域的持续深耕以及市场对其AI芯片强劲需求的双重推 动。 在英伟达年度股东大会上，首席执行官黄仁勋指出，除了人工智能(AI)这一核心驱动力，机器人技术将 是英伟达最具发展前景的市场，并预测自动驾驶汽车将成为该技术首个主要的商业应用领域。他强 调："我们公司在各个领域都有很多增长机会，而其中人工智能和机器人技术是最大的两个，代表着数 万亿美元级别的增长机会。" 黄仁勋表示："我们很久以前就不再把自己仅仅看作一家芯片公司了。我们正在朝着这样一个目标努 力：未来将有数十亿个机器人、数亿辆自动驾驶汽车，以及数十万个机器人工厂，它们都可以由英伟达 的技术提供动力。" 从全球机器人行业的现状来看，2023年全球机器人行业市场规模超660亿美元，五年行业复合增速为 11.27%，呈现出蓬勃发展的态势。 目前，全球机器人行业竞争激烈，涵盖工业机器人、服务机器人、特种机器人等多个领域。其中，服务 机器人市场占比最大，超过50%。 | 图表3: 全球机器人领域领先 ...