5月22日，第四届中东欧国家博览会暨国际消费品博览会在宁波隆重召开。中东欧博览会由浙江省人民政府、商务部 共同主办，宁波市人民政府、浙江省商务厅、商务部贸发局承办，是我国唯一面向中东欧的国家级机制性展会。 图1 第四届中东欧国家博览会暨国际消费品博览会 2. 大小脑决策中枢 采用垂直场景优化的多模态大模型作为决策大脑，配合实时控制小脑，实现智能任务规划到精确执行的全链路决策。 3. 跨场景泛化能力 本届博览会首次设立数智中东欧展区，集结全球尖端科技力量。 智昌科技集团股份有限公司作为宁波智能制造领域 企业代表受邀参展，以"具身智能"为核心，携自主研发的柔性制造具身智能机器人——AIX艾克斯重磅亮相，并系统 地展示了具身智能技术体系的进化路径与实践成果，向全球展现中国在智能机器人核心技术领域的突破性成果。 中国芯筑基：感算控一体化架构重塑智能新范式 本次展出的 柔性制造具身智能机器人——AIX艾克斯 。其核心搭载自主研发的感算控一体化AI控制器，依托国家重 点研发计划"智能机器人"重点专项"机器人控制器专用芯片研发与应用"项目成果，采用国产高算力芯片，实现超 30TOPS边缘算力与1ms级实时控制响应。AIX艾 ...

Core Viewpoint - The article highlights the successful launch of the CMG World Robot Competition, showcasing the advancements in humanoid robotics and the competitive spirit of the event, which featured the Yushu G1 humanoid robot as the sole participant model [1][5]. Group 1: Event Overview - The CMG World Robot Competition's mech combat arena opened on May 25, featuring real-time commentary and interactive topics, presenting a blend of cutting-edge technology and visual spectacle to the audience [1]. - The competition showcased four distinct teams, each with unique strategies and styles, emphasizing the diversity in robotic combat [2][3]. Group 2: Team Performances - The Black Team, led by Lu Xin, utilized AI-driven strategies to create a formidable defense, demonstrating tactical prowess [2]. - The Pink Team, represented by Jiao Tianqi, showcased fluid and precise offensive techniques, often securing victories in rapid succession [3]. - The Green Team, led by Hu Yunqian, employed a methodical and pressure-based approach, making it difficult for opponents to counter [3]. - The Red Team, led by Chen Liangyu, integrated traditional cultural elements into their combat style, reflecting Eastern wisdom in their strategies [3]. Group 3: Technical Aspects - The Yushu G1 robot features seven degrees of freedom in its arms, allowing for more versatile movements and attack angles compared to conventional five-degree models [7]. - The G1's combat mode faces challenges such as high instantaneous power requirements and the need for precise control algorithms and mechanical strength [8]. - The robots demonstrated advanced motion control and balance capabilities, enhancing the entertainment value of the competition [5]. Group 4: Future Implications - The event illustrated the potential for humanoid robots to transition into various industries, including entertainment, manufacturing, and specialized sectors, hinting at a future where robots could perform complex tasks traditionally done by humans [8].

Core Viewpoint - The establishment of the world's first "Humanoid Robot Intelligence Grading" standard (T/CIE 298-2025) aims to enhance the evaluation framework for humanoid robots, transitioning the industry from a "function-oriented" approach to "intelligent evolution" [1][2][6]. Group 1: Standard Development - The new standard was developed by leading organizations including the Beijing Humanoid Robot Innovation Center and various enterprises and research institutions, addressing the lack of evaluation standards in the humanoid robot industry [1][2]. - The standard introduces a "four-dimensional five-level" evaluation framework, creating a grading system from L1 to L5 for intelligent capabilities [2][3]. Group 2: Evaluation Framework - The evaluation framework consists of four core capability dimensions: Perception and Cognition (P), Decision Learning (D), Execution Performance (E), and Collaboration Interaction (C) [2][3]. - The standard provides 22 primary indicators and over 100 technical clauses, along with a common safety baseline and typical application scenarios, serving as a reference for product design and performance benchmarking [3]. Group 3: Capability Descriptions - Perception and Cognition: Humanoid robots should acquire, process, and understand environmental and self-state information, enabling reasoning and knowledge application [3][4]. - Decision Learning: Robots must utilize methods like large models and reinforcement learning to achieve precise perception, logical reasoning, and dynamic decision-making [4]. - Execution Performance: Robots should support precise control of joint movements and complex task execution, including mobility and dynamic balance [4]. - Collaboration Interaction: Robots must communicate and collaborate safely and efficiently with humans and other intelligent agents [5]. Group 4: Future Implications - The implementation of the grading standard is expected to facilitate the transition from "demonstrative intelligence" to "general intelligence" in humanoid robots, enabling large-scale applications across various sectors such as special operations, logistics, industrial manufacturing, education, and healthcare [6][8]. - The standard aims to provide a unified technical language and evaluation tools for the industry, promoting market order and guiding technological development [6][8].

Core Viewpoint - The collaborative robot sector is experiencing intense competition among key players, with distinct strategic differences and industry challenges emerging as they navigate market dynamics and capital operations [3][19]. Group 1: Company Performance - Aobo has maintained its position as the industry leader with the highest domestic shipment volume for four consecutive years and ranks second globally, achieving over 90% localization of core components [4]. - Yuejiang ranks first among all collaborative robot companies in China and second globally, with a market share of 13% and over 80,000 units shipped worldwide, generating 59% of its revenue from overseas markets [4]. - Jieke has achieved a compound annual growth rate of 41% in revenue from 2021 to 2023, with 2023 revenue slightly surpassing Yuejiang at 350 million yuan, despite a lower market share of approximately 8.2% [5]. Group 2: Financial Highlights - Yuejiang's 2024 financial summary indicates total revenue of 374 million yuan, a year-on-year increase of 30.32%, with a net loss of 95 million yuan, narrowing by 7.67% [7][8]. - Jieke's financial data shows total revenue of approximately 166.79 million yuan for the first half of 2024, with total costs reaching 178.37 million yuan, resulting in a net loss of 32.54 million yuan [6][10]. - Aobo's recent funding rounds have raised concerns about cash flow, with reports of stalled IPO plans and a failed collaboration with China Resources worth 3.6 billion yuan [11]. Group 3: Market Dynamics - The average price of domestic collaborative robots has decreased from 72,000 yuan per unit in 2021 to 48,000 yuan in 2025, leading to an average gross margin below 40% [12]. - Yuejiang's aggressive pricing strategy has resulted in high sales expenses of 200 million yuan in 2024, revealing the unsustainability of its "loss for market share" model [12][13]. - The collaborative robot industry faces challenges such as technology homogenization and low penetration in industrial applications, with emerging fields like healthcare and agriculture still underdeveloped [15]. Group 4: Capital and Regulatory Environment - The number of financing events in the domestic robot industry has declined significantly from 337 in 2021 to 240 in 2023, indicating a retreat of capital investment [18]. - Jieke's IPO attempts have faced scrutiny from regulators due to ongoing losses and aggressive expansion plans, highlighting the cautious approach of the market towards such business models [9][18]. - The competitive landscape among Aobo, Yuejiang, and Jieke reflects broader industry challenges in overcoming foreign monopolies and achieving high-quality development [19].

周度研究聚焦：泳池清洁机器人加速放量，蓝海市场未来可期 泳池清洁机器人是一种自动化的泳池清洁设备，能在泳池中自动行走以清理池水、池壁、池底的沙尘、杂质和 污垢等。泳池清洁机器人最大优势在于其能实现水下自主清理功能，其构造包括结构件、传动件、控制件与清 洁件，通过多传感器融合算法实现水下智能定向移动，通过电机、水泵与清洁滚刷等部件的配合实现池水与池 底池壁的清洁功能。 全球泳池数量持续增长，泳池机器人需求量大。 据嘉程资本统计，2021年全球有2888万个泳池，每年呈持续 增长态势。据嘉程资本预测，到2026年，会增至3692万个泳池，2021-2026年复合增速在5%。主要集中在欧 美市场，尤其以美国为主。美国泳池数量在2021年就已达到1060万个，到2022年增至1900多万个，包含了私 家泳池和公共泳池，其中私家泳池占比70%以上。我们认为随着全球泳池数量的持续增长，泳池机器人的需求 量也相应释放，其市场足够庞大。 全球泳池数量持续增长，泳池机器人需求量大。泳池机器人加速渗透，已经从最开始 的导入期进入快速放量的成长期。 行业竞争格局集中，缺乏创新，为中国品牌后来居上创造良好条件，近年来取得了突 破式增 ...

近日，中国科学院自动化研究所脑图谱与类脑智能实验室（简称"脑与类脑实验室"）脑机接口与融合智能团队 自主研发的 柔性微电极植入机器人——CyberSense 通过深圳市"脑解析与脑模拟"重大科技基础设施（简 称"脑设施"）预验收，助力科学家将 "比头发丝更细更软"的柔性微电极 植入实验动物的大脑皮层，为脑机接 口与脑科学研究提供关键支撑。 柔性脑皮层微电极植入机器人CyberSense 植入式脑机接口是一个高度交叉的领域，涉及电极、芯片、脑外科、人工智能、神经解码等多种关键技术，需 要多学科协作创新和集成攻关。"现在的植入式电极已经做到比头发丝还细还柔软，能大大降低植入创伤和排 异反应。但要在豆腐般脆弱的脑组织里精准布线，人类医生根本无从下手，这时候就需要机器人'主刀医生'登 场。"中国科学院自动化研究所研究员余山说，高度自动化的植入机器人成为脑机接口领域的核心设备。 END 2025机器人产业需求调研问卷 诚邀您参与本次需求调研，扫码即可填写！ 如需咨询 商务合作、 宣传推广、 转载开白等事宜，请联系：18355423366 (微信同号)对接。 END 75家机器人上市公司2024年报亮点 机器人行业上市公 ...

国家科学技术奖励工作办公室 关于2025年度国家科学技术奖提名工作的通知 国科奖字【2025】4号 各有关单位、相关专家： 根据《国家科学技术奖励条例》《国家科学技术奖提名办法》等有关规定，现将2025年度国家科学技术奖提名工 作相关事项通知如下。 一、提名原则 1.提名者应当坚持面向世界科技前沿、面向经济主战场、面向国家重大需求、面向人民生命健康，提名服务国家战 略需求、作出创造性贡献的重大成果，特别是从0到1的重大科学发现和基础理论创新、事关发展全局和国家安全 的关键核心技术突破、抢占科技和产业发展制高点的战略性、前沿性成果。鼓励提名人工智能、量子科技、集成 电路、新一代网络、先进材料、先进制造、新能源、生物医药、矿产勘探、生物育种等领域高水平科技成果。 2.提名者应当提名真正作出创造性贡献的科学家和一线科技人员，仅从事组织领导、行政管理或辅助服务的人员不 得作为国家科学技术奖候选人，担任项目负责人、项目首席科学家等领军技术专家的除外。同一提名项目的候选 者应当按照贡献大小排序。对于曾担任领军技术专家的领导干部以及企事业单位负责人参评的，提名者应严格甄 别其任职期间的科技成果。 3.提名者应当坚持以德为先 ...

2025年5月21日，在北京市昌平区人民政府的指导下，以"智驱未来 关节争锋"为主题的第一届机器人一体化关节 评测比赛活动（以下简称"活动"）启动会在北京盛大召开。 此次活动由中汽检测技术有限公司、北京工业大学机 械工业精密传动与智能测试装备创新中心、机器人质量基础共性技术检测与评定工业和信息化部重点实验室、国 家机器人检测与评定中心（广州）联合主办 ，汇聚政产学研多方力量，旨在通过标准化评测体系推动国产机器人 关节质量提升。 北京市经济和信息化局智能制造与装备产业处副处长 李丹勇 致辞 北京市昌平区经济和信息化局副局长 崔展齐 致辞 国机智能总经理 王乾廷 致辞 北京市经济和信息化局智能制造与装备产业处副处长李丹勇、北京市昌平区经济和信息化局副局长崔展齐出席会 议并致辞，对活动的举办表示祝贺，并从政策导向与区域发展视角，深度阐释了机器人关节技术对产业升级的战 略意义。国机智能科技有限公司党委副书记、总经理王乾廷代表主办单位讲话，表示将以专业评测体系服务行业 需求，以资源整合推动技术迭代，以生态共建赋能产业升级，为机器人核心部件高质量发展注入新动能。 国机智能副总经理 高燕 此次活动汇集来自高校、科研院所的专 ...

Core Viewpoint - The article highlights the upcoming "2025 China Welding Industry Forum" focusing on robotics and intelligent welding technology, scheduled to take place in Jiaxing, Zhejiang from June 15-17, 2025, emphasizing its significance in the welding industry and the integration of advanced technologies [3][4]. Group 1: Event Overview - The "2025 China Welding Industry Forum" will be held in Jiaxing, a city known for its rich history and cultural significance, particularly in relation to the Chinese Communist Party [3]. - The forum is organized by the China Welding Association and aims to discuss advanced technologies and products in the field of robotics and intelligent welding [3][4]. - The event will feature 15 specialized reports from renowned experts in the field, covering applications in various industries such as shipbuilding, steel structures, automotive, and aerospace [3][6]. Group 2: Conference Details - The forum will coincide with the "28th Beijing Essen Welding and Cutting Fair," which is recognized as the largest welding industry event globally [4]. - Attendees will include leaders from industry regulatory bodies, manufacturing units, and academic institutions, fostering a platform for technical exchange [4]. - The conference will include a series of presentations on topics such as intelligent welding robots, innovative welding techniques, and applications in new energy vehicles [6][8]. Group 3: Registration and Logistics - Registration for the forum is required before June 6, 2025, with a participation fee of 1,500 yuan per person, while special guests and speakers are exempt from fees [11][13]. - Accommodation is available at the Jinghui Hotel in Jiaxing, with special rates for conference attendees [13]. - Transportation to the venue is not provided, and attendees are advised to arrange their own travel [13].

Core Viewpoint - The article discusses the development of the FlowSight sensor, inspired by the lateral line system of fish, which enables underwater robots to perceive water flow accurately for navigation and environmental monitoring tasks [1][3]. Group 1: FlowSight Sensor Development - The FlowSight sensor is a biomimetic lateral line sensor that utilizes flexible silicone whiskers to sense water flow [3]. - It captures deformation information of the whiskers using a built-in high-definition camera, which is processed through a deep learning model to determine water flow speed and direction [3]. - The sensor achieves a relative error of 3.05% in measuring water flow speed and 0.98% in measuring water flow direction [3]. Group 2: Integration with Underwater Robots - The FlowSight sensor has been integrated into a biomimetic underwater robot named RoboDact, enabling it to perform closed-loop motion control based on water flow perception [4]. - RoboDact can navigate upstream and adjust its posture dynamically, providing new solutions for underwater exploration and ecological monitoring [4][5]. - The integration allows RoboDact to adapt its speed and direction according to various complex underwater environments [5]. Group 3: Research and Funding - The research work on FlowSight was published in the IEEE Transactions on Robotics and received funding from several national projects, including the National Key R&D Program and the National Natural Science Foundation [1][6].