近期北京邮电大学方斌教授团队联合清华大学、 意大利比萨圣安娜大学、英国伦敦国王学院和德国汉堡大学 发布了基于掌状视触觉传感器的柔性接触仿真与操作学习，为基于视触觉传感器的柔性操作提供了新的思路。 相关工作发表在机器人、自动化领域 JCR Q1 期刊 IEEE Transactions on Automation Science and Engineering 。 研究背景： 可变形物体操控是机器人领域一个经典且极具挑战性的任务。相较于刚性物体，可变性物体具复杂的变形特性 （包括弹性变形、塑性变形和弹塑性变形），大量的自由度 (DOF) 需要复杂的建模方法，这使该问题更加复 杂。同时，可变形物体广泛存在于医院、工业和家庭环境中。因此，可变形物体操控在机器人技术发展中发挥 着至关重要的作用。 为此，本文开发了一款可变形物体与基于视觉的触觉传感器之间的软接触模拟器，该模拟器能够模拟视触觉传 感器与弹性、塑性以及弹塑性物体之间的接触变形。在此模拟器的基础上，本文提出了基于视触觉传感器的可 变形物体操控基准，包括可迁移的观测值、任务和专家演示系统。最后，本文搭建了相应的实验平台，完成了 相关任务的 Sim-to-rea ...

过去，灵巧手更多是实验室中的符号——高自由度、仿生结构、极高成本；而如今，伴随软硬协同能力的提升、控制算法的不断演进、触觉与多模态感知 的加速融合，灵巧手正逐步从科研走向应用的临界点。一方面，它是工业自动化对"异形抓取""多任务执行"能力的新需求延伸；另一方面，它也是服务机 器人在家庭、医疗、养老等场景中迈向"真实可用"的关键一环。 当AI从云端走向实体，具身智能正逐渐成为通往下一代通用人工智能的关键路径。在这一演进过程中，灵巧手作为"通用机器人"实现复杂操作与自然交互 的核心执行器，正迎来前所未有的技术突破与商业想象空间。 值得注意的是，这一领域正快速演变为全球技术博弈与资本布局的热点。从Shadow Robot与DeepMind合作攻克多任务抓取，到中国本土初创企业灵心巧 手凭借超高自由度结构在仿生手赛道突围，一批聚焦结构创新、感知控制一体化的新兴力量，正在不断刷新我们对"灵巧"这一词的理解。 我们希望通过本报告，为关注具身智能、机器人末端执行器、智能制造升级的产业人士与投资机构，提供一份具备前瞻视角与产业落点的深度参考。本篇 报告将围绕以下三大维度系统展开： 产业定义与技术演进 应用场景与商业趋势 竞争 ...

[Table_ReportInfo] 2025 年 06 月 30 日 证券研究报告•金融工程报告 机器学习金融工程月报 机器学习因子选股月报（2025 年 7 月） 摘要 西南证券研究院 [Table_Author] 分析师：郑琳琳 执业证号：S1250522110001 邮箱：zhengll@swsc.com.cn 联系人：祝晨宇 邮箱：zhcy@swsc.com.cn 相关研究 请务必阅读正文后的重要声明部分 [Table_Summary] GAN_GRU因子：基于前期报告《量价时序特征挖掘模型在深度学习因子中的 应用》（2024年 7月 11日）中提到的 GAN_GRU 模型，定期更新 GAN_GRU 因子自 2024年以来表现情况。其中 GAN_GRU因子为利用生成式对抗神经网 络 GAN 模型进行量价时序特征处理后再利用 GRU 模型进行时序特征编码得 到的选股因子。 表现跟踪：自 2019 年 1 月至 2025 年 6 月，月频调仓的基础上，GAN_GRU 因子在全 A 范围内 IC均值 11.54%，多头组合年化超额收益率 24.95%；截至 2025 年 6 月 27 日，GAN_GRU ...

Group 1 - The core viewpoint of the article emphasizes that technological innovation, particularly through the introduction of machine learning, has become a key driver for the development of companies in the industrial sector [1][2]. - Shenzhen Xiongyu Rubber Hardware Products Co., Ltd. has successfully optimized its silicone rubber production process by implementing machine learning technology, significantly improving production efficiency and product quality [1][3]. Group 2 - The company has developed an intelligent production system based on machine learning, which collects and analyzes large amounts of production data to achieve real-time optimization and precise control of production parameters [3][4]. - The introduction of machine learning has led to a 15% increase in product qualification rates and a substantial reduction in defect rates, enhancing product quality consistency [3][4]. - Production efficiency has improved by approximately 21%, and production cycles have been shortened by about 14% due to optimized production processes and reduced downtime [4]. Group 3 - Industry experts have praised the company's innovative achievements, highlighting the integration of machine learning in traditional manufacturing as a model for enhancing core competitiveness and providing valuable insights for the industry [5]. - The company plans to continue increasing research and development investments to explore more advanced technologies in silicone rubber production, aiming for further breakthroughs and contributions to high-quality industry development [5].

Group 1 - The meeting emphasized the importance of implementing the spirit of the Central Eight Regulations and enhancing the political stance of party members [1][2] - Focus will be on addressing issues such as increasing burdens on grassroots, improper dining, and the misuse of funds, with a strong commitment to rectification [2] - The need for a systematic approach to ensure the effectiveness of learning and education initiatives was highlighted, aiming for long-term institutional mechanisms [2] Group 2 - The meeting was chaired by Fang Hongwei, who stressed the importance of strict adherence to work and integrity disciplines among supervisory teams [2] - Coordination among municipal work teams is essential for timely communication of central and provincial requirements [2][3] - The meeting included participation from various city-level officials and supervisory group leaders to ensure comprehensive engagement in the educational efforts [2]

在近20年AI发展的路线上，我们正站在⼀个前所未有的转折点。从早期的符号推理到深度学习的突破，再到 如今⼤语⾔模型的惊艳表现， AI 技术的每⼀次⻜跃都在重新定义着⼈类与机器的关系。⽽如今，具身智能正 在全面崛起。 想象⼀下这样的场景：⼀个机器⼈不仅能够理解你的语⾔指令，还能在复杂的现实环境中灵活移动，精确操作 各种物体，甚⾄在⾯对突发情况时做出智能决策。这不再是科幻电影中的幻想，⽽是正在快速成为现实的技术 ⾰命。从Tesla的Optimus⼈形机器⼈到Boston Dynamics的Atlas，从OpenAI的机械⼿到Google的RT-X项⽬，全 球顶尖的科技公司都在竞相布局这⼀颠覆性领域。具身智能的核⼼理念在于让AI系统不仅拥有"⼤脑"，更要拥 有能够感知和改变物理世界的"身体"。这种AI不再局限于虚拟的数字空间，⽽是能够真正理解物理定律、掌握 运动技能、适应复杂环境。它们可以在⼯⼚中进⾏精密装配，在医院⾥协助⼿术操作，在家庭中提供贴⼼服 务，在危险环境中执⾏救援任务。这种技术的潜在影响⼒是⾰命性的：它将彻底改变制造业、服务业、医疗健 康、太空探索等⼏乎所有⾏业。 从顶级会议ICRA 、IROS到Neu ...

会议传达学习习近平总书记在《求是》杂志发表的重要文章《用中长期规划指导经济社会发展是我 们党治国理政的一种重要方式》，强调要牢牢把握高质量发展这个首要任务和构建新发展格局这个战略 任务，聚焦"两高四着力"，深刻把握发展大势、科技趋势、产业走势，加强与国家、省"十五五"规划对 接，深入开展调查研究，广泛听取社会各界意见建议，做到科学决策、民主决策、依法决策，全面谋划 好"十五五"时期经济社会发展。 27日，市委副书记、代市长庄建球主持召开市政府第62次常务会议，陈宏伟、陈红民、王鸿勋、王 滔、马志峰、李凤芝等出席。 会议研究提振消费工作，强调要突出重点消费领域，增加夜间消费供给，优化提升消费服务，持续 扩大"醉美·夜郑州"品牌影响力，打造夜间经济新场景，加快建设国际消费中心城市。 会议还研究了2024—2025学年全球发明大会中国区全国总决赛等重大活动筹备及其他事项。 会议学习贯彻省委十一届九次全会精神，指出要认真落实省委全会部署，自觉从中找方向、找思 路、找动力，以实际行动坚定拥护"两个确立"、坚决做到"两个维护"。要准确把握全会提出的奋斗目 标、总体任务、重大要求、重点工作，找准结合点、着力点、突破点，努力 ...

Group 1: Core Perspectives - The construction of a strong education system requires systematic leaps and qualitative changes at both macro and micro levels [1] - Key issues must be addressed by gathering resources such as policies and funding to build a superior ecosystem [1] Group 2: Higher Education Technology Transfer - The Ministry of Education held a national meeting to promote the construction of regional technology transfer centers in universities [3] - Successful integration of technological and industrial innovation relies on strong universities, capable entrepreneurs, and financial support [3] - The first regional center in Jiangsu has demonstrated significant results in gathering various innovation elements and has set a precedent for future centers [3] Group 3: Educational Digitalization - The Ministry of Education emphasized the need for a new learning ecosystem that promotes lifelong learning through collaboration among schools, families, and society [4] - A successful learning society requires sufficient resource supply, convenient learning environments, and comprehensive incentive mechanisms [4] - The educational digitalization strategy is advancing through iterative processes, achieving significant progress in ecosystem integration [4] Group 4: Overall Education Reform - The acceleration of building a strong education system highlights the importance of organized integration and effective mechanism design [5] - There is a need to study non-educational factors that contribute to educational reform and to establish efficient systems and mechanisms [5]

Core Idea - The article discusses the educational philosophy of Grundtvig, a significant Danish thinker who advocated for universal education and lifelong learning, breaking the monopoly of the elite on education and laying the foundation for Denmark's public education system [1][2][3]. Group 1: Grundtvig's Philosophy and Impact - Grundtvig's philosophy emphasizes that education should be accessible to everyone, regardless of their social status, and focuses on awakening the human spirit rather than merely imparting knowledge [2][3]. - He believed that the enlightenment of the populace was essential for national strength and advocated for fundamental reforms in education, establishing adult schools for farmers, workers, and ordinary citizens [2][3]. - Grundtvig founded Denmark's first adult school in 1844, promoting an open educational model where students could choose courses based on their interests, fostering lifelong learning and cultural enrichment [3]. Group 2: Development of Adult Education in Denmark - Under Grundtvig's influence, adult schools proliferated in Denmark, significantly enhancing the cultural quality and economic development of the populace [3]. - The cooperative movement in agriculture, inspired by the education provided in these adult schools, improved product quality and market resilience, contributing to Denmark's modern agricultural success [3]. - Today, Denmark has approximately 70 adult schools, which are integral to the national education system, with a literacy rate of 99% and a higher education enrollment rate of 85% [3].

作者 | Zh.ai 编辑 | 自动驾驶之心 原文链接： https://zhuanlan.zhihu.com/p/1920858767987308475 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 WAD前五名 纯视觉端到端驾驶比赛前五名，第一名Poutine（截至2025.6.25） 技术报告： 比赛第一名方案： Poutine Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End- to-End Autonomous Driving 技术摘要： 1. 主体是3B参数VLM，解决视觉端到端自动驾驶长尾场景； 大模型预刷生产annotations 2. 两阶段训练： 技术方案： a. 阶段一预训练。自监督，vision- language- trajectory，next-token prediction方式，训练数据8 ...