习近平总书记指出："实现高水平科技自立自强，是中国式现代化建设的关键。" 从"十四五"规划纲要提出"把科技自立自强作为国家发展的战略支撑"，到"十五五"规划建议提出"加快 高水平科技自立自强，引领发展新质生产力"，是坚持创新驱动发展的衔接传承，更是立足"十五五"关 键时期，面对新一轮科技革命和产业变革加速突破的乘势而上。 过去5年，中国科技创新成果丰硕，新质生产力稳步发展，科技实力跃上新台阶，为进一步"强基攀高向 新"奠定坚实基础。 中国式现代化要靠科技现代化作支撑。 "十五五"规划建议提出，"要巩固拓展优势、破除瓶颈制约、补强短板弱项，在激烈国际竞争中赢得战 略主动"。未来5年，持续推进高质量发展，必须以科技创新引领新质生产力发展，不断塑造发展新优势 新动能。 变局蕴含机遇，挑战激发斗志。充分发挥新型举国体制优势，抓住新一轮科技革命和产业变革历史机 遇，不懈努力、接续奋斗，共识在凝聚，行动更坚定。 强基 今年3月，中国科学院物理研究所宣布，该所研究员张广宇带领团队，研制出单原子层金属，在国际上 首次实现大面积二维金属材料的制备，更打破了"金属必须以三维形式存在"的传统认知。金属成功"降 维"，映射原始创新的 ...

中国式现代化要靠科技现代化作支撑。 习近平总书记指出："实现高水平科技自立自强，是中国式现代化建设的关键。" 从"十四五"规划纲要提出"把科技自立自强作为国家发展的战略支撑"，到"十五五"规划建议提出"加快 高水平科技自立自强，引领发展新质生产力"，是坚持创新驱动发展的衔接传承，更是立足"十五五"关 键时期，面对新一轮科技革命和产业变革加速突破的乘势而上。 过去5年，中国科技创新成果丰硕，新质生产力稳步发展，科技实力跃上新台阶，为进一步"强基攀高向 新"奠定坚实基础。 "十五五"规划建议提出，"要巩固拓展优势、破除瓶颈制约、补强短板弱项，在激烈国际竞争中赢得战 略主动"。未来5年，持续推进高质量发展，必须以科技创新引领新质生产力发展，不断塑造发展新优势 新动能。 变局蕴含机遇，挑战激发斗志。充分发挥新型举国体制优势，抓住新一轮科技革命和产业变革历史机 遇，不懈努力、接续奋斗，共识在凝聚，行动更坚定。 强 基 进一步筑牢自立自强的根基 今年3月，中国科学院物理研究所宣布，该所研究员张广宇带领团队，研制出单原子层金属，在国际上 首次实现大面积二维金属材料的制备，更打破了"金属必须以三维形式存在"的传统认知。金属成 ...

Core Points - The 10th Soft Robotics Conference will be held from November 14 to 16, 2025, in Qingdao, China, organized by Harbin Engineering University [28][29] - The conference aims to provide a platform for academic exchange in the field of soft robotics, covering various themes including basic theories, advanced applications, and interdisciplinary innovations [28][30] - The event will feature keynote speeches, invited reports, a soft robotics innovation design competition, and an exhibition [28][29] Conference Overview - The conference was initiated in 2015 by Zhejiang University and has successfully held nine sessions, becoming an important platform for scholars in the soft robotics research field [28] - The main topics include new technologies, materials science, control technologies, medical applications, and artificial intelligence in soft robotics [30] Competition Details - The soft robotics innovation design competition will consist of four tracks: open theme poster evaluation, soft robot object grasping competition, land-water crossing competition, and underwater soft robot innovation challenge [43][44] - All entries must be related to soft robotics, and participants can register individually or in teams of up to four students [45] - The competition will have a preliminary and final round, with awards for first, second, and third places, as well as excellence awards [46] Registration Information - Registration fees are set at 2200 RMB for non-students and 2000 RMB for students if registered by October 31, 2025, with increased fees after that date [41] - Payment can be made via Alipay or bank transfer, with specific instructions provided for each method [42] Venue and Accommodation - The conference will take place at the Harbin Engineering University Qingdao Innovation Development Base, with several nearby hotels offering special rates for attendees [50][51] Sponsorship and Exhibition - The conference offers gold, silver, and bronze sponsorship categories, providing various promotional opportunities for sponsors [52] - Exhibition spaces are available for companies, with a fee that includes meals and materials [53]

Core Viewpoint - The 2025 Second Zhongguancun Embodied Intelligence Robot Application Competition aims to promote original innovation and lead technological transformation, focusing on the intersection of embodied intelligence and robotics technology, providing a high-end platform for academic exchange and achievement display [1][3]. Event Overview - The competition consists of three phases: registration, preliminary round, and final round, with the official registration channel opened on July 15 [1][3]. - The preliminary round will take place on October 23-24 at the Zhongguancun National Independent Innovation Demonstration Zone Conference Center, where teams will showcase their robotic works [3]. - The final round is scheduled for November 15-16, where teams will present their projects through PPT reports and demonstrations [3]. Event Positioning - The competition focuses on technological exploration, aiming to discover cutting-edge technologies in the field of embodied intelligence and facilitate the transformation of academic achievements into engineering practices [4]. - It emphasizes "original innovation" and "engineering feasibility," encouraging theoretical exploration and practical technological innovations that meet industry needs [4]. Event Direction - The competition covers multiple fields, promoting interdisciplinary innovation in areas such as embodied algorithms, intelligent control, and new material applications [4]. - Key technological directions include embodied algorithms, intelligent motion, control perception and interaction, structural design, and new materials [4]. Event Format - The competition adopts a "report + display" format, combining academic presentations with physical demonstrations [4]. - Teams will present their products through live introductions and PPT defenses, while also showcasing their achievements in a dedicated exhibition area [4]. Benefits for Participants - The competition will feature evaluations by top industry experts and academicians, providing authoritative guidance and professional assessment for participating teams [7]. - Awards include a first prize of 30,000 yuan, a second prize of 20,000 yuan, and a third prize of 10,000 yuan, along with additional incentives for innovative teams [7]. - Participants may also receive policy support related to technology transfer and opportunities for collaboration with industry enterprises [7][9]. Networking Opportunities - Concurrently, an industry forum will be held, allowing participants to engage with academicians, professors, and industry leaders, expanding academic and industrial collaboration channels [9]. - Outstanding achievements will have priority access to industry resources and media coverage, enhancing visibility and collaboration opportunities for future development [9].

Core Insights - The article discusses advancements in soft robotics, particularly focusing on a new design approach that combines classic mechanical structures with multi-material 3D printing to enhance the performance of soft robots [1][25]. Group 1: Innovations in Soft Robotics - The research introduces a novel design inspired by the movement of quadrupeds, specifically horses, which utilize a reverse D-shaped trajectory for efficient locomotion [3][4]. - Three major innovations are highlighted: 1. Multi-material fusion printing technology [5] 2. A bionic structure that integrates rigidity and flexibility [6] 3. A closed-loop control system for real-time adjustments [7]. Group 2: Performance Improvements - The new soft robot design shows significant performance enhancements compared to traditional soft robots: - Speed increased from 0.154 BL/s to 0.428 BL/s, a 178% improvement [8]. - Horizontal stride length improved from 26.89 mm to 46.97 mm, a 75% increase [8]. - The robot can now withstand pressures of up to 30 kN, demonstrating enhanced structural integrity [8]. - The operational range has expanded to 250 meters, which is 2500 times its body length, overcoming previous limitations [8]. Group 3: Material and Manufacturing Advances - The robot utilizes three types of TPU materials with varying Shore hardness to optimize performance: 75D for the rigid skeleton, 95A for the transition layer, and 85A for soft joints [9]. - Innovative joint designs using dovetail and finger joints have quadrupled tensile strength, addressing previous layering issues [9]. - The manufacturing process employs multi-nozzle hot melt deposition technology for integrated printing, allowing for gradient hardness in joints and links [9]. Group 4: Application Prospects - The soft robot is poised for various applications, including: 1. Disaster rescue operations in rubble and uneven terrain [23]. 2. Field exploration, capable of climbing steep rocks and traversing sandy areas [23]. 3. Industrial inspections in pipelines and confined spaces [23]. 4. Human-robot collaboration, ensuring safety during interactions [23]. Group 5: Future Challenges and Opportunities - The integration of classic mechanics with multi-material printing opens avenues for customized soft robots at a low cost, addressing core challenges in the field [25]. - Future developments may focus on enhancing flexibility in electronic systems, adapting to extreme environments, and incorporating AI for adaptive gait switching [28].

Core Insights - Soft robotics is a promising branch of robotics, showcasing significant potential in fields such as smart agriculture, underwater robotics, and human-robot interaction and rehabilitation [1] - Traditional robots often rely on centralized processors, which limits their speed and adaptability in complex environments, highlighting the need for new control and drive technologies [1] Group 1: Innovative Motion Strategies - Researchers from the Netherlands proposed a new strategy for rapid autonomous movement in robots, based on self-oscillating limbs and physical interactions with the environment [3] - The study published in "Science" demonstrates that multi-limb robots can achieve rapid movement and obstacle avoidance through explicit fluid coupling and implicit environmental interaction [5] Group 2: Biomimetic Design - The self-oscillating limbs are inspired by the movement mechanisms of animals, such as starfish, which coordinate their limbs through decentralized neural control [7] - The design utilizes soft tubes that oscillate independently to drive the robot's locomotion, mimicking natural movement patterns [7] Group 3: Coupling Technologies - A multi-limb coupling technology was developed to integrate individual self-oscillating limbs into a multi-limb system, enabling synchronized movement [11] - The resulting soft robot exhibits performance metrics comparable to fast-moving invertebrates, such as cockroaches, in terms of size, weight, and speed [14] Group 4: Wireless Operation - The researchers improved the design to create a truly wireless soft robot powered by micro air pumps and lithium polymer batteries, allowing for untethered operation [15] - The robot can autonomously jump at a frequency of approximately 2 Hz, significantly faster than existing wireless soft robots [17] Group 5: Future Prospects - The self-oscillating limb synchronization technology represents a breakthrough in soft robotics, enabling collaborative ultra-fast movement and autonomous behaviors [18] - Future developments may integrate advanced materials science, fluid dynamics, and robotic design to create smarter, more efficient robots capable of adapting to complex environments [18]

Core Insights - A team of engineers from Georgia Tech has developed a soft robot inspired by the jumping mechanism of nematodes, which can leap up to 3 meters high despite lacking legs [1][3]. Group 1: Robot Design and Mechanism - The soft robot measures 12.7 centimeters and is constructed from silicone rods with a built-in carbon fiber spine, allowing it to jump forward and backward [1]. - The jumping mechanism of nematodes involves a three-stage process: formation of a circular structure, creation of a knot structure, and expansion of the circular structure to release stored elastic potential energy [5][6]. - Nematodes can jump to a height 20 times their body length, which is analogous to a human jumping three stories high while lying down [3][4]. Group 2: Research Findings and Future Applications - The research team utilized high-speed cameras to analyze the jumping dynamics of nematodes, leading to the creation of a prototype soft robot that mimics these behaviors [6]. - The reversible knot structure allows nematodes to store more energy for jumping, enabling rapid energy release within one-tenth of a millisecond [6]. - Future research may explore the potential of knot instability in other soft robot applications, such as crawling, swimming, or grasping tasks, aiming to develop robots with higher flexibility and adaptability for complex environments [6].

1、 均普智能首条人形机器人量产中试线已在搭建中 近日，均普智能首条机器人本体量产中试线已正式开始搭建。项目的负责人介绍，该产线配备了公司自主 研发的视觉引导装配系统、多轴联动测试平台等40余套高端装备，关键工序自动化率可达85%。根据规 划，该产线初期年产能约1000台，初期将以"人机协作"的运行模式进行过渡，后期则有望实现"机器人生 产机器人"。 2、 首款"甘肃造"养老机器人有望今年第四季度实现量产 近日，具身智能机器人（甘肃）有限公司在甘肃省商协会联谊会上对外官宣，其打造的首款"家政养老机 器人M1"有望在今年第四季度实现量产。据悉，家政养老机器人M1是依托一系列创新技术生产的面向家 庭场景C端销售的养老机器人，该款机器人可灵活穿梭于复杂环境，完成各类家务任务，其感知系统融合 多种先进传感器，使机器人拥有敏锐"感知力"。该产品的落地，将填补甘肃机器人制造领域的空白，结束 西北地区在高端家用智能装备领域长期依赖外部供给的局面。 3、 我国科学家成功研制脑机接口柔性微电极植入机器人CyberSense 前不久，来自中国科学院自动化研究所脑图谱与类脑智能实验室的脑机接口与融合智能团队自主研发了柔 性微电极植 ...

Core Viewpoint - The forum highlighted the rapid development of China's artificial intelligence (AI) industry, with significant growth projections for the AI large model market, which is expected to reach 16.5 billion yuan in 2024 and 62.4 billion yuan by 2028, reflecting a compound annual growth rate of 40% [2]. Group 1: Industry Growth and Trends - The AI industry in China is experiencing robust growth, with the large model market projected to expand significantly in the coming years [2]. - The Chinese government is adopting a cautious yet inclusive approach towards the large model industry, with a surge in related policies expected from 2024 [2]. - Breakthroughs in AI-specific chips and quantum computing are anticipated to enhance computing hardware, leading to more efficient, low-power, and environmentally friendly solutions [2]. Group 2: Technological Innovations - Innovations in embodied intelligence perception and control technologies are emerging, particularly in sensor technology, which is expected to see advancements in high-resolution, low-power, and multi-modal capabilities [2]. - The development of soft robotics is poised to create new opportunities in various fields, including medical rehabilitation and disaster rescue, driven by new soft material research and applications [2]. Group 3: Challenges Facing the Industry - The AI industry faces significant challenges, including bottlenecks in data, algorithms, and computing power [3][5]. - There is a lack of high-quality professional datasets, difficulties in data sharing, and an inadequate data governance framework [5]. - Ethical and safety concerns regarding large models present global governance challenges, alongside a growing talent supply-demand imbalance due to increasing application scenarios [3][5].