Core Insights - The article highlights the historic victory of Chinese teams at the 2025 RoboCup, with Tsinghua University's Huoshen team winning the adult category and the Agricultural University of China Shanhai team as the runner-up, both using the domestically developed T1 robot [1][3][9] - In the small robot category, the German Boosted HTWK team won, while Tsinghua TH-MOS team secured the second place, both utilizing the K1 robot from the same manufacturer [2][5] Summary by Sections Adult Group Performance - The Tsinghua Huoshen team showcased exceptional performance, winning matches with scores of 16:0, 9:0, and 12:0 against strong teams, ultimately defeating the Agricultural University of China Shanhai team 5:2 in the finals [3][9] - This victory marks the first time a Chinese team has won the adult category in the 28-year history of RoboCup [1] Small Group Performance - The Tsinghua TH-MOS team, using the K1 robot, defeated the six-time champion French team Rhoban 5:4 in the group stage and won against Australia's NUbots 8:0 in the semifinals [5] - The final match saw Tsinghua TH-MOS lose to the German Boosted HTWK team with a score of 0:11, resulting in a second-place finish for the Chinese team [5] Technological Significance - The RoboCup serves as a premier platform for showcasing advanced robotics technology, particularly in the humanoid category, which requires complex real-time perception, decision-making, and multi-agent collaboration [7] - The T1 and K1 robots have gained international recognition, being used by both Chinese and foreign teams, indicating their superior performance and user-friendly development tools [9]

1、 人形机器人亮相音乐节 在中国VOYAGEX音乐节上，一个类人机器人成为焦点，这个由PNDbotics开发的全尺寸机器人名为Ada m，以键盘手的身份吸引观众的目光，并与中国著名音乐家胡宇桐的乐队一起表演，展现了机器人技术的 惊人融合。该公司在YouTube上发布的视频描述中表示："这标志着我们在技术创新和艺术探索方面的一 次全新尝试。PNDbotics从未停止用新的尝试突破界限。"在视频中，一个全尺寸的人形机器人亚当（Ada m）站在舞台中央，肩上扛着一块白色键盘吉他。它动作流畅，如同人类，有节奏地敲击琴键，左右摇 摆。它的手指精准地按压音符，而机器人的上半身则随着节拍轻轻旋转。亚当偶尔会在重复乐段之间停 顿，然后随着旋律的推进而保持专注。 DeepMind 近期探索了自我提升的乒乓球智能体，试图让智能体通过与自己比赛来学习。研究人员尝试让 两个机械臂互相打乒乓球，当一个机器人发现更好的策略时，它的对手就会被迫适应并改进，从而形成一 个技能水平不断提升的循环。研究者认为，乒乓球囊括了机器人技术在受限却高度动态的环境中面临的诸 多最艰巨的挑战。乒乓球要求机器人掌握一系列高难度技能：除了感知能力之外，它还需 ...

Core Viewpoint - The article highlights the growing trend of embodied intelligence development in China, emphasizing the upcoming Second Zhongguancun Embodied Intelligence Robot Application Competition in the second half of 2025, which aims to showcase practical applications of robot technology and provide valuable insights for investors and customers [1][2]. Group 1: Competition Overview - The competition will serve as a platform for demonstrating the practical application of embodied intelligence robots in various sectors, including family services, commercial services, industrial manufacturing, elderly care, and emergency response [6]. - The event will feature a series of forums and exhibitions, inviting top experts and innovative companies to facilitate the integration of talent, projects, markets, capital, and services, thereby accelerating the transformation of technological achievements [6][8]. - The competition will include three tracks: embodied intelligence model capability challenge, embodied intelligence scene application competition, and embodied intelligence academic frontier and industrial ecology, with substantial rewards to attract global participants [6][8]. Group 2: Industry Ecosystem - Haidian District has established a robust innovation ecosystem for the embodied intelligence industry, housing 186 companies in this field, including 24 humanoid robot enterprises, and 21 educational institutions offering relevant programs [1]. - The district has been recognized as a key area for embodied intelligence development, having been selected as a distinctive industrial cluster for small and medium-sized enterprises in the robot industry by the Ministry of Industry and Information Technology for 2024 [1].

Core Viewpoint - The article emphasizes the significance of Franka Robotics' FR3 robot in advancing multi-modal fusion algorithms in robotics research, highlighting its unique features that enhance research efficiency and adaptability in various scientific applications [1][2][4]. Group 1: Research Adaptability - Franka Robotics has been recognized as a leading tool in the research community, with nearly 1,400 research papers utilizing its robots in 2024 [5]. - The deep understanding of research scenarios by Franka Robotics is evident through its unique control interface (FCI), which allows real-time access to core parameters and precise control, facilitating efficient implementation of essential research needs [7][11]. Group 2: Hardware Upgrades - The FR3 robot features a seven-degree-of-freedom (7-DoF) design that mimics human arm movement, enabling smooth and precise operations in complex environments [12]. - The recent upgrade includes a self-calibrating torque sensor, ensuring high sensitivity throughout the robot's lifespan and addressing data drift issues during long-term experiments [12][15]. Group 3: Software Enhancements - The software upgrade focuses on lowering the usage threshold through mainstream programming methods, making FR3 an out-of-the-box research tool [16]. - The new Desk API enhances programmatic control capabilities, allowing users to manage FR3 through programming, thus improving automation and research efficiency [17]. - The App Package feature, with a graphical interface, simplifies the development process for researchers and educators, promoting rapid task flow construction [19]. Group 4: Ecosystem Integration - FR3 fully supports ROS 2 Jazzy, enabling researchers to build real-time, scalable distributed robotic applications, enhancing communication and control capabilities [21]. - The deep integration of the open-source motion planning and control framework MoveIt 2 allows FR3 to seamlessly fit into the global robotics research ecosystem, accelerating the transition from theoretical algorithms to intelligent robotic behaviors [23]. Group 5: Future Prospects - Franka Research 3 is positioned as a partner for global robotics researchers, driving a paradigm shift in robotics research through hardware precision, software optimization, and ecosystem connectivity [24][29]. - Upcoming releases, such as the FR3 Duo Arm System and Tactile Mobile Robot, are expected to provide richer research tools for laboratories [24].

Core Viewpoint - Embodied Artificial Intelligence (EAI) is a key driver for future productivity transformation, with China's strategic focus on advancing the industry from technology validation to large-scale commercialization, aiming to lead rather than follow in the global market [1][3]. Group 1: Development of EAI in China - The Chinese government has identified EAI as a strategic priority in the 2025 Government Work Report, emphasizing its role in nurturing emerging industries [1]. - The National and Local Joint Innovation Center for Humanoid Robots was established in May 2024, serving as the first national public platform in the humanoid robot field to promote data collection, technology research, enterprise incubation, and talent cultivation [1][3]. Group 2: Training Ground Functions - The training ground aims to achieve five core functions: 1. Data collection and scaling, allowing humanoid robots to gather extensive data through environmental interactions to optimize algorithms and enhance performance [4]. 2. Model training and development, providing infrastructure for humanoid robots to improve skills through methods like imitation learning and reinforcement learning [5]. 3. Scene simulation and application implementation, enabling robots to adapt to various tasks in real-world scenarios such as elderly care and industrial inspections [7]. 4. Model testing and evaluation, focusing on assessing key performance indicators like mobility and decision-making logic [8]. 5. Talent cultivation and ecosystem development, offering practical opportunities for researchers and engineers while promoting industry innovation [9]. Group 3: Huawei's Role in EAI Development - Huawei is assisting the National and Local Joint Innovation Center in building a comprehensive solution for the training ground, covering the entire lifecycle from data collection to model training [11]. - Key initiatives include: 1. Efficient and stable edge data collection solutions using a "cloud-edge" architecture to ensure high-quality data acquisition [13]. 2. A robust data management system that supports real-time data processing and enhances data availability while reducing storage costs by 50% [15][16]. 3. Enabling model training through high-performance caching solutions to maximize computational resource utilization [17]. 4. Fostering ecosystem collaboration by creating a shared dataset, "White Tiger Dataset v0.0.1," which is the first globally to exceed one million heterogeneous robot data points [19][20]. Group 4: Industry Impact - The humanoid robot training ground is expected to fill the gap in large-scale heterogeneous humanoid robot datasets, accelerating the development of EAI technology in China and promoting the industrialization and large-scale application of humanoid robots [20].

近日 Plus One Robotics的联合创始人兼首席技术官Shaun Edwards在接受媒体采访时表示，目前美国制 造业回流遇到致命的问题在于机器人工程师人才储备不足以及机器人落地应用滞后，这是美国国家竞争力的根 基，如果不能在人才培养与技术部署上取得突破，美国在创新领域的领先地位将面临来自中国的严峻挑战。 ▍ 中国每年毕业工程师数量为美国 7.78倍 是美国制造业回流的最大障碍 相比之下，中国在工程人才培养上采取了系统性策略。其教育投资覆盖高等院校、职业学校及政府主导的学徒 制项目，形成多层次的人才输送体系，全国性布局不仅保障了工业产能的规模化扩张，更构建了应对技术迭代 的人才储备机制。此外近几年随着中国相关政策的出台，人形机器人与具身智能已上升至国家战略层面，从政 策引导、企业研发再到产业链协同，中国拥有从研发到落地的全链条优势。 ▍ 成本高、门槛高、过于复杂！三大难题制约工业自动化落地 自动化技术的价值不是取代现有劳动力，而是通过工具赋能提升生产效率，这对资源有限的中小型制造商尤为 关键。实际应用场景下，能够低成本简单部署的自动化平台能使工程师更快上手，但美国依然面临普及性难 题。中小企业无法通 ...

位于上海嘉定工业区的京东 "亚洲一号"无人仓，4万平方米的空间内，数百台AGV无人车穿梭往来，六轴机 械臂正高效执行入库装箱、拣货、混合码垛等作业。仅这一个自动化无人仓，单日就要处理超过百万件包裹， 覆盖从重型货物搬运到精密零件分拣、从高低温仓储环境到密集货架布局等多样场景。场景的复杂性与任务的 多样性，对机器人的负重能力、抓取精度、环境适应力都提出了极高考验。 7月21日， 具身智能领域头部企业千寻智能（ Spirit AI）宣布完成近6亿元PreA+轮融资。本轮融资由京东 领投，中国互联网投资基金（简称"中网投"）、浙江省科创母基金、华泰紫金、复星锐正等知名机构跟投。 值得关注的是， Prosperity 7 Ventures(P7)、顺为资本、华控基金、华发集团、千乘资本、靖亚资本、弘 晖基金等老股东纷纷超额追加投资，充分彰显了老股东对千寻智能发展潜力的持续认可。 本轮融资由高鹄资本担任独家财务顾问。此次融资不仅为千寻注入强劲资金动能，更凸显其在具身智能赛道的 核心竞争力 —— 通过构建"资本 + 产业"的深度协同生态，千寻智能将进一步加速技术创新与产业化落地的 双向突破。 当前，千寻智能的投资方已涵盖 ...

Core Viewpoint - RealSense, previously part of Intel, has officially launched as an independent company with a $50 million investment from Intel and MediaTek Innovation Fund, marking the end of a tumultuous period for the business [1] Group 1: Company Structure and Leadership - The new RealSense team consists of 130 employees, with 88% coming from the original Intel RealSense team [2] - CEO Nadav Orbach, who has 19 years of experience at Intel, focuses on positioning the company as a startup in the physical AI sector, aiming to create tools for robots to understand the world [4] Group 2: Market Presence and Applications - RealSense's 3D depth perception technology is already integrated into thousands of robotic products, covering areas such as Autonomous Mobile Robots (AMR), robotic arms, and humanoid robots [5] - The company has established partnerships with over 3,000 clients, including 60% of AMR and humanoid robot developers, with notable clients like Geek+ and Agility Robotics [5] Group 3: Technological Focus - RealSense plans to emphasize software development alongside its core hardware, particularly in visual SLAM technology and 3D safety to enhance robot navigation and hazard detection [7] - The recent launch of the D555 PoE camera and a custom ASIC chip has increased onboard AI computing power to 5 TOPS, enabling new functionalities like real-time telemetry and edge processing [11] Group 4: Competitive Landscape - The 3D vision market is becoming increasingly competitive, with companies like Luxonis, Orbbec, and Zivid offering high-performance products [12] - RealSense's independence is seen as a strategic move to adapt to market changes, but it must establish differentiation in technology performance, cost control, and industry customization [12] Group 5: Future Outlook - The global robotics market is projected to grow from $50 billion to $200 billion in the next six years, with humanoid robot demand expected to grow at a CAGR of over 40% [15] - Despite gaining autonomy, RealSense faces challenges in establishing a consensus on humanoid robot vision solutions, as its technology currently has a limited market share in this segment [16]

Group 1: Company Achievements - UBTECH has won a record-breaking robot equipment procurement project worth 90.51 million yuan, marking the largest single bid amount in the industry to date [1] - The RoboCup, known as the "Robot Football World Cup," is being held in Brazil, where Chinese teams have secured the top two positions in the humanoid category, breaking the historical barrier of not winning in this category [7][9] Group 2: Industry Developments - The European Space Agency is exploring the operation of quadruped robots in low-gravity environments, with a robot named Olympus designed to jump between walls under simulated microgravity conditions [2][4][5] - According to the International Federation of Robotics (IFR), Japan's automotive industry is set to deploy approximately 13,000 industrial robots by 2024, reflecting an 11% increase from the previous year, the highest level since 2020 [13][15]

Core Viewpoint - Blue Dot Touch (Beijing) Technology Co., Ltd. has recently completed nearly 100 million RMB in Series B financing, aiming to enhance R&D investment and expand its team to meet the demand for small-sized, high-precision, and high-bandwidth sensors in humanoid robots [1][3]. Company Overview - The company was founded in April 2019 by Liu Wuyue, a graduate of Northwestern Polytechnical University, and has received angel investment from the Zhiyou Jinmiao Fund in May 2020 [1]. - The core team primarily comes from prestigious research institutions such as the University of Science and Technology of China and the China Academy of Aerospace Technology [2]. Market Position - Blue Dot Touch holds over 70% market share in humanoid robot six-dimensional force sensors and 95% in robot joint force sensors, serving major clients like Xiaomi and UBTECH [2][9]. - The company has successfully positioned itself in the first tier of six-dimensional force sensors, competing directly with foreign brands like ATI [3]. Industry Trends - The humanoid robot market is experiencing a significant surge, with an expected shipment of approximately 2,000 units in China in 2024, surpassing industry expectations [5]. - The transition from prototype to mass production in humanoid robots is underway, with predictions of shipments reaching between 5,000 to 10,000 units by 2025 [5]. Product Development - Blue Dot Touch's sensors are critical components in humanoid robots, with each robot requiring four six-dimensional force sensors and 28 joint torque sensors, which account for 15% of the total BOM cost [7]. - The company has developed several flagship sensor modules, including six-dimensional force sensors and joint torque sensors, which have received positive feedback from clients [8][11]. Future Outlook - Liu Wuyue anticipates explosive growth in the humanoid robot force sensor market, projecting it to reach a scale of 100 billion RMB globally, with China's development pace outpacing that of foreign markets [13]. - The company plans to apply for an IPO on the Sci-Tech Innovation Board around 2028, reflecting its confidence in the rapidly growing market and its doubling revenue each year [15].