Overview - The 2025 World Intelligent Manufacturing Expo will be held from November 27 to 29, 2025, at the Nanjing International Expo Center, aiming to help Chinese enterprises grasp global industry trends and connect with cutting-edge technologies and quality resources [1][2]. Expo Highlights - The expo is designed to be a high-end, international, and professional platform, gathering leading global intelligent manufacturing companies to showcase advanced technologies and solutions [2]. - It will attract representatives from over 20 countries, with government officials attending to provide the latest policy guidance through industry white papers [2]. - More than 30 experts and academicians will present keynote speeches on cutting-edge research and technology, aiding enterprises in technological upgrades [2]. - Over 50 Fortune 500 companies and industry leaders will participate, showcasing new products and applications, facilitating supply-demand matching and collaboration [2]. Exhibition Areas - The exhibition will cover over 65,000 square meters, divided into several halls focusing on different aspects of intelligent manufacturing [5]. - Key areas include: - **Intelligent Robot Hall**: Featuring collaborative and embodied intelligent robots [6][7][8]. - **Smart Factory Hall**: Showcasing advanced manufacturing processes and exemplary smart factories [9][10][11]. - **Industrial Software and Solutions Hall**: Highlighting industrial AI, edge computing, and digital supply chains [12][13][15]. - **Industrial Mother Machine Hall**: Displaying high-performance CNC machines and additive manufacturing technologies [16][17][18]. - **Intelligent Detection Equipment Hall**: Featuring general and specialized intelligent detection solutions for various industries [19][20]. Interactive and Special Exhibits - The expo will include interactive areas such as robot competitions and smart driving experience zones, enhancing visitor engagement [21][22]. - A special exhibition will celebrate the achievements of intelligent manufacturing over the past decade, showcasing significant breakthroughs across various industries [23]. Concurrent Activities - The expo will host a major theme conference, signing events, and numerous specialized summits, focusing on the latest advancements in intelligent manufacturing [25]. - Activities will include product launches, supply-demand matching, and financial sessions, aimed at enhancing the platform's effectiveness for exhibitors [25]. Registration Information - Interested companies in the robotics and core components sectors are encouraged to register by November 14, 2025 [26].

Core Points - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9, 2025, in Zhengzhou, focusing on the intelligent transformation of manufacturing driven by the new generation of artificial intelligence [3][6]. - The registration deadline has been extended by 3 days to November 6, 2025, at 12:00 [3][12]. Conference Details - The conference will feature various forums on topics such as AI-driven product design and simulation, manufacturing process optimization, production operation control, equipment fault diagnosis, and industrial software [7]. - The event is organized by the Editorial Department of "Computer Integrated Manufacturing Systems" and hosted by Zhengzhou University of Light Industry, with participation from numerous universities, research institutions, and enterprises [8]. Registration Fees - Registration fees are set at 1500 RMB for students, 2800 RMB for general participants, and 3800 RMB for corporate representatives [9][19]. - Payment can be made via bank transfer or by scanning a QR code for registration [9][19]. Important Notes - Participants are responsible for their own accommodation and transportation costs [12][25]. - Students must provide a student ID during registration [12][25].

Core Viewpoint - The article highlights the successful demonstration of the first 5G-A humanoid robot for power grid inspection, showcasing its potential for digital transformation in high-risk industries through remote operation and automation [1][15]. Group 1: Technological Breakthroughs - The demonstration marks a significant shift from "feasibility" to "usability," integrating humanoid robots and 5G-A technology in real-world power grid inspection scenarios, which require high reliability and safety [1]. - The "Kua Fu" robot has demonstrated capabilities in both high-pressure environments and long-distance operations, proving its reliability and technological maturity as a universal platform for complex tasks [2]. Group 2: Key Functional Enhancements - The "Kua Fu" robot features a bionic design and adaptive gait, allowing it to navigate complex environments, which is essential for conducting comprehensive inspections in high-voltage areas [3]. - Utilizing 5G-A's high-speed capabilities, the robot can transmit real-time, high-definition visual data at 20 Mbps, enabling remote engineers to make informed decisions based on live footage [5]. - With over 40 degrees of freedom, the robot can replicate the actions of remote operators with precision, ensuring safety during high-risk tasks such as voltage testing [8]. Group 3: Collaborative Framework - The project established a collaborative operational framework based on 5G-A technology, integrating edge computing and cloud platforms to enhance operational efficiency and safety in high-risk environments [12]. - The innovative solution has improved inspection efficiency by 84%, significantly reducing the likelihood of safety incidents by allowing robots to operate in hazardous areas [13]. Group 4: Future Implications - The successful demonstration indicates a scalable model that can be applied to various high-risk industries, including emergency rescue and chemical energy sectors, positioning robots as reliable assistants in specialized tasks [15]. - The project exemplifies a collaborative ecosystem involving telecommunications, research institutions, robotics companies, and end-users, paving the way for sustainable industrial innovation [15].

Core Points - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9 in Zhengzhou, focusing on the intelligent transformation of manufacturing driven by the new generation of artificial intelligence [3][8] - The conference has attracted participation from numerous universities, research institutions, and enterprises in the advanced manufacturing sector [3] Agenda Summary - The AI-driven Production Operation Control Forum will take place on November 9, 2025, from 08:30 to 12:05 at Hongrun Huaxia Hotel, Zhengzhou [6] - Keynote speakers include: - Zhang Jie from Donghua University discussing "Exploration and Practice of Intelligent Production Scheduling Empowered by Large Models" [7] - Tang Dunbing from Nanjing University of Aeronautics and Astronautics presenting on "Digital Li Sheng System Platform Based on Full-Stack Autonomous Technology" [7] - Li Xinyu from Huazhong University of Science and Technology on "Intelligent Manufacturing Optimization Decision Empowered by Large Models" [7] - Liu Xiaojun from Southeast University discussing "Modeling and Systems for Virtual Testing" [7] - Yan Chaobo from Xi'an Jiaotong University on "Design, Control, and Implementation of Autonomous Intelligent Multi-Moving Robot Collaborative Handling Systems" [7] - Li Kai from Hefei University of Technology on "Production and Product System Integration Optimization in Intelligent Connected Environments" [7] - Tang Qiuhua from Wuhan University of Science and Technology on "Manufacturing Process Optimization Empowered by AI" [7] - Wang Junqiang from Northwestern Polytechnical University discussing "Batch Scheduling Optimization and Performance Analysis" [7] Registration and Fees - Registration fees are as follows: - Student participants: 1500 RMB - General participants: 2800 RMB - Corporate representatives: 3800 RMB [9] - Payment can be made via bank transfer or QR code [9][11] Accommodation Information - Recommended hotels include: - Hongrun Huaxia Hotel (conference venue) [12] - Zhengzhou Fengleyuan Hotel (500 meters from the venue) [13] - Participants are advised to book accommodations early due to high demand [12]

缴费成功后请务必将 参会回执 发送邮件至编辑部邮箱（ cims_journal@qq.com ） 点击蓝字下载参会回执文件： 附件：参会回执.docx 第七届现代制造集成技术学术会议 将于 11月7日-11月9日 在 郑州 召开，会议由《计算机集成制造系统》编辑部 主办，郑州 轻工业大学承办，聚焦新一代人工智能驱动的制造业数智化转型。本次会议吸引了先进制造领域众多 高等院校、研究机构及企业的热情参与。 现公布 「专题论坛2： AI驱动的制造工艺优化论坛 」 议程。 AI驱动的制造工艺优化论坛-会议日程 1 时间： 2025年11月9日上午 08:30-12:05 地点： 河南省郑州市金水区丰乐路 96号 弘润华夏大酒店 论坛召集人 /主席： 黄海鸿、张映锋、孙清超、王柏村、董元发、夏焕雄 | 84间 | 日程安排 | | --- | --- | | 08:30-08:25 | 《数据-知识驱动的智能物联制造系统协同优化方法及应用》 | | | 张映锋, 西北工业大学机电学院党委书记, 教授 | | 08:55-09:20 | 《AI 驱动的加工过程机理发现及其在工艺优化中的应用》 | | | 朱锟鹏,中科院合 ...

Core Points - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9 in Zhengzhou, focusing on the intelligent transformation of manufacturing driven by the new generation of artificial intelligence [2] - The conference is organized by the editorial department of "Computer Integrated Manufacturing Systems" and hosted by Zhengzhou University of Light Industry, attracting participation from various universities, research institutions, and enterprises in the advanced manufacturing field [2] Agenda Summary - The AI-driven Product Design and Simulation Forum will take place on the morning of November 9, 2025, at Hongrun Huaxia Hotel, Zhengzhou [5] - The forum will feature several presentations, including topics such as digital representation methods, uncertainty quantification in design, and knowledge-driven product design [6] - Notable speakers include professors from Shanghai Jiao Tong University, Hunan University, and Beijing University of Aeronautics and Astronautics [6] Registration and Fees - Registration fees are set at 1500 RMB for students, 2800 RMB for general participants, and 3800 RMB for corporate representatives [8] - Payment can be made via bank transfer or QR code scanning, with specific instructions provided for each method [8][10] Accommodation Information - Recommended hotels include Hongrun Huaxia Hotel and Zhengzhou Fengleyuan Hotel, with a note that accommodation should be booked in advance due to high demand during the conference [11][12]

Core Insights - The report from the China Science and Technology Information Research Institute highlights that China continues to lead the world in the number of influential journal papers, high-level international journal papers, and citation counts across various disciplines [2][3] Group 1: Publication Statistics - In 2024, China published 15.49 million high-level international journal papers, accounting for 39.2% of the global total, with citation counts reaching 1.0112 million, both ranking first in the world [2] - The number of influential journals in China reached 163 across 178 disciplines, with a total of 42,757 papers published in these journals, of which 15,067 were from China, representing 35.2% of the global total [2] Group 2: Hot Papers and Citations - China holds the highest number of hot papers globally, with 76,271 high-citation papers, which is 37.41% of the world total, showing a 3.6% increase compared to the previous year [3] - The average citation per international paper from Chinese researchers is 17.24, exceeding the world average of 16.43 for two consecutive years [3] Group 3: International Collaboration and Impact - Approximately one-third of China's high-citation papers are internationally co-authored, indicating a growing trend in global collaboration [3] - In 2024, over 40% of papers published by China received international citations in the same year, with India being the leading country in citing Chinese papers, followed by the United States and South Korea [4] Group 4: Contributions to Scientific Innovation - China ranked second globally in the number of preprint papers published on major platforms, contributing significantly to the rapid exchange of academic innovations [4] - The number of impactful Chinese scientific journals has increased, with a steady rise in the average citation counts of core Chinese scientific journals [4]

Core Viewpoint - The robot rental market is rapidly developing as a new business model to alleviate high hardware costs, with significant growth potential in the overall robotics industry [3][6]. Industry Growth - The robotics industry in China is experiencing explosive growth, with a projected 27.8% year-on-year increase in revenue in the first half of 2025, and industrial robot production reaching 370,000 units, while service robots are expected to reach 8.824 million units, marking increases of 35.6% and 25.5% respectively [2]. - By 2045, the number of humanoid robots in use in China is expected to exceed 100 million, with the overall market size potentially reaching approximately 10 trillion yuan [2]. Market Challenges - The industry faces fragmentation, making it difficult for users to effectively connect with rental services and manufacturers. This lack of communication leads to a highly dispersed service and resource environment [4][5]. - Current robot performances are often limited to basic functions, resulting in a homogenized experience that can lead to audience fatigue [4]. Future Outlook - Despite existing challenges, industry experts remain optimistic about the market's future, predicting that robots will become a major terminal market following smartphones and automobiles [6]. - The demand for robot rentals is currently driven by entertainment, but it is expected to expand into broader applications such as home companionship and factory production as robot capabilities diversify [6]. Business Model Innovations - Subscription models are gaining traction, allowing for flexible payment options similar to rental agreements. This approach is expected to lower user cost barriers in the short term while providing long-term value through enhanced user experience and services [8][10]. - The price range for robots varies significantly, with mini robots priced under 1 million yuan, medium robots between 1 million and 3 million yuan, and large robots ranging from 3 million to 5 million yuan, reflecting different functionalities and capabilities [8]. Collaborative Efforts - To address industry pain points, a coalition called the Intelligent Robot Rental Ecosystem Alliance has been established, combining product, operation, and financial services [11]. - The alliance aims to create a comprehensive ecosystem that includes a content creation platform and flexible financing solutions to support rental services [11][12]. Operational Efficiency - The alliance plans to centralize robot deployment and maintenance to reduce costs and improve service efficiency, while also establishing a nationwide service network to enhance customer support [15]. - Safety measures will be implemented, including on-site personnel during events to ensure security and facilitate future delivery models [15]. Market Potential - Reports indicate a strong market potential for robotic applications, with flexible leasing and subscription models expected to enhance procurement willingness among small and medium enterprises [15]. - The rise of the RaaS (Robots as a Service) concept is anticipated to lead to increased adoption of robotic products through rental or subscription methods [16]. Technological Advancements - Ongoing technological breakthroughs are expected to expand the application scenarios for robots, with predictions that 2026 will mark a significant year for cognitive technology adoption in the industry [17].

Core Insights - The article discusses a high-quality randomized controlled study published in the Archives of Physical Medicine and Rehabilitation, which reveals significant differences in neural remodeling pathways between passive and assistive training modes for stroke patients using lower-limb exoskeleton robots [2][4][7] Research Background - Stroke-related lower limb motor impairments often result in decreased cortical drive on the affected side and compensatory movement strategies. Traditional physical training improves performance but does not precisely regulate the recovery direction of brain networks. The emergence of exoskeletons enhances patient engagement in movement, yet there is uncertainty regarding the effectiveness of passive versus assistive gait training [3][4] Research Overview - The study included over 50 subacute stroke patients who underwent two weeks of exoskeleton gait training, with dynamic brain function monitoring using functional near-infrared spectroscopy (fNIRS). Passive training was found to directly promote synchronization in the affected motor-related networks, aligning cortical interactions with healthy gait strategies, which correlated with improvements in motor function [4][5] Key Findings - In patients with severe functional impairments, assistive training led to increased activation in contralateral brain regions associated with compensatory strategies. While this activation supports task execution, it does not foster beneficial coupling with core motor networks, indicating that assistive training may provide short-term benefits but hinder long-term recovery of the affected networks [5][7] Research Significance - The study provides critical theoretical and practical insights, demonstrating that passive training has greater potential for restoring the affected cortical areas, while excessive early implementation of assistive training may lead to reliance on compensatory pathways. This finding emphasizes the importance of evaluating training effectiveness based on neural recovery rather than solely on observable movement success [7][8]

Group 1 - The 2025 Guangdong International Robotics and Intelligent Equipment Development Conference, themed "Intelligent Manufacturing High Ground, Leading the Future," aims to create a platform for cooperation and exchange in the robotics and intelligent equipment sector, showcasing the latest technologies and achievements [2] - The establishment of the Guangdong Embodied Intelligent Robot Supply Chain Industry Alliance was announced, along with the release of the first batch of innovation centers for embodied intelligent robots, which will play a crucial role in advancing technology research and industrialization [2] - The fifth Industrial Software Innovation Application Competition was launched to stimulate innovation in the industrial software sector and promote breakthroughs and applications in industrial software technology [2] Group 2 - The integration of "Artificial Intelligence + Robotics" is becoming a core driving force for global industrial transformation, reshaping the industrial landscape at an unprecedented pace [4] - Dongguan, known as the "World Factory," has been deeply cultivating the robotics and intelligent equipment industry, forming a complete industrial chain from core components to complete machine manufacturing, and from technology research and development to application scenarios [4]