在灵巧机器人领域，一项重大突破正在改变机器人如何学习复杂的手部操作技能。来自斯坦福大学、哥伦比亚大 学、摩根大通 AI 研究院、卡内基梅隆大学和英伟达的研究团队，由 Mengda Xu 、 Han Zhang 、 Yifan Hou 、 Zhenjia Xu 、 Linxi Fan 、 Manuela Veloso 和 Shuran Song 共同合作，于 2025 年 5 月发表了题为《 DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation 》的研究 论文。这项研究提出了一个创新框架，允许机器人直接从人类手部动作中学习复杂的灵巧操作技能。 人类的手部展现出令人惊叹的灵巧特质，能够胜任各式各样复杂精细的任务。然而，将人类手部的这些技能迁移 至机器人身上，却始终面临着巨大的挑战。究其原因，主要是人类的手与机器人的手之间存在着显著的 " 身体差 异鸿沟 " 。研究团队由此提出了一个核心问题：究竟该如何最大程度地缩小这种 " 身体差异鸿沟 " ，让人类的手 部能够成为各类不同机器人手的通 ...

近年来，人工智能、具身智能与人形机器人技术的融合突破，正在重塑智能机器人的发展图景。" 2025智能机器人关 键技术大会 "将于 2025年7月下旬 在 齐齐哈尔市 举办，大会由中国兵工学会主办，中国自动化学会机器人专业委员 会，中国人工智能学会智能机器人专业委员会和中国仪器仪表学会智能车与机器人专委会支持，国内多家权威学术 期刊加盟，现向行业内广大科研工作人员征文。 稿件将被各个期刊正刊，经审稿录用后 2025年年底前出版 。 征文范围 （但不局限于） 征文相关事项 1.论文投稿时请注明意向期刊，如未注明将由会务组根据期刊出版方向投递。 2.投稿方式： 机器人自主导航与控制 机器人机构 人机交互与灵巧操作 机器人智能感知技术 多传感器集成与融合 机器学习与模式识别 机器视觉、图像处理与模式识别技术 移动机器人及协作机器人 SLAM技术 人形与仿生机器人技术 机器人底座技术 软体机器人 共融机器人技术 机器人智能控制技术 多智能体系统理论与应用 人工智能与云机器人技术 医疗与微纳机器人技术 特种机器人技术 可穿戴与康复机器人 服务机器人技术 其他机器人及人工智能相关技术 论文投稿要求 1.内容要求：论文须为原 ...

机器人产业蓬勃发展，正极大改变着人类生产和生活方式，为经济社会发展注入强劲动能。2023年年初，工业和 信息化部联合十六大部委印发《"机器人+"应用行动实施方案》，目标到2025年，制造业机器人密度较2020年实现 翻番，服务机器人、特种机器人行业应用深度和广度显著提升，机器人促进经济社会高质量发展的能力明显增 强。11月12日工业和信息化部又印发《人形机器人创新发展指导意见》，提出人形机器人有望成为继计算机、智 能手机、新能源汽车后的颠覆性产品，并明确2025年实现批量生产。 各项政策加持，热度非凡，行业活动也层出不穷，小编通过网络搜集整理了 未来两周国内外机器人及人工智能领 域行业活动活动榜单 ，供大家参考。 2025.06.09-06.22 机器人及人工智能相关活动预告 1 2025年第十一届中国（上海）国际技术进出口交易会 时间： 2025.06.11-06.13 地点： 上海世博展览馆 主办单位： 上海市人民政府 2 人工智能赋能医学科技创新论坛 时间： 2025.06.13 地点： 北京大学医学部逸夫楼209报告厅 主办单位： 北京大学医学部 3 第五届人工智能、大数据与算法国际学术会议 时间： ...

Core Viewpoint - The 2025 Low Altitude Technology and Engineering Conference aims to promote the development of low-altitude technology and its integration into various industries, highlighting its importance for economic growth and innovation in China [1][2]. Group 1: Conference Highlights - The conference was inaugurated by key figures from various sectors, including government officials and industry leaders, emphasizing the collaborative effort in advancing low-altitude technology [1]. - Beijing Institute of Technology and the China Electronics Society released two significant reports: the "Low Altitude Technology and Engineering Development Report" and the "Low Altitude Technology Industry Innovation Scenario List," which outline strategic directions for the industry [2]. Group 2: Industry Development - The establishment of the "National Low Altitude Technology Industry Research Institute" aims to create a comprehensive ecosystem for low-altitude technology, integrating talent training, technology transfer, and industrial implementation [3]. - The low-altitude technology industry in Yanqing District has seen rapid growth, with over 100 leading enterprises and a complete industrial chain, supported by favorable policies and resources [4]. Group 3: Future Prospects - The conference will continue until June 9, featuring experts and representatives from top universities and leading companies, focusing on innovation and application in the low-altitude sector [5].

Core Viewpoint - The seventh Beijing Zhiyuan Conference highlighted the rapid growth of embodied intelligence, showcasing advancements in AI and robotics through various forums and discussions featuring leading experts and companies in the field [1][3]. Group 1: Conference Highlights - The conference featured over 180 reports across 20 forums, covering key topics such as multi-modal AI, deep reasoning, and AI safety [1]. - Notable attendees included four Turing Award winners, over 30 AI company founders and CEOs, and more than 100 global young scientists [1]. Group 2: Embodied Intelligence Developments - Embodied intelligence has emerged as a core area of integration between AI and robotics, with a dedicated all-day forum introduced at this year's conference [3]. - Discussions included the current state and future of embodied intelligence, featuring insights from leading researchers and company founders [3]. Group 3: Technical Insights - Tsinghua University professor Sun Fuchun emphasized the importance of world models and immersive digital physical systems for embodied intelligence [5]. - The need for brain-like algorithms to replace traditional controllers in humanoid robots was highlighted by researcher Zhao Mingguo [7]. - The use of synthetic data for training models to achieve zero-shot generalization was advocated by Wang He, CTO of Galaxy General [9]. Group 4: Data Challenges and Solutions - The challenges of data scarcity for humanoid robots were addressed, with suggestions to utilize internet video for pre-training models to learn human motion [13]. - High costs and difficulties in data collection for robots were noted, with recommendations for using video data to enhance training processes [15]. Group 5: Commercialization and Industry Challenges - The current limitations of humanoid robots in basic capabilities were discussed, emphasizing the need for improvements in terrain adaptability and stability before advancing to higher-level applications [20]. - Key pain points in the development of embodied intelligence include insufficient data quality and quantity, as well as the misalignment between academic research and industrial application [22]. Group 6: Future Outlook - The Zhiyuan Institute's chairman Huang Tiejun expressed ambitions for creating sophisticated physical intelligent agents, with a vision for embodied intelligence to potentially surpass human capabilities by 2045 [23].

2025 年 6 月 6 日，第七届 " 北京智源大会 " 在中关村展示中心开幕。 北京智源大会是智源研究院主办的 "AI 内行学术盛会 " ，以 " 全球视野、思想碰撞、前沿引领 " 为特色，汇聚海内外研究 者分享研究成果、探寻前沿知识、交流实践经验。 2025 北京智源大会邀请到了图灵奖得主、深度学习代表人物 Yoshua Bengio ，图灵奖得主、强化学习之父 Richard S. Sutton ，图灵奖得主 Joseph Sifakis 、姚期智， Google 、 DeepMind 、 Meta 、 Mila 、 Physical Intelligence 、 MIT 、斯坦福、 UC Berkeley 、 Linux 基金会等国际明星机构与技术团队代 表，华为、百度、字节跳动、腾讯、阿里等互联网大厂以及智谱、宇树科技、生数科技、面壁等 30 余位 AI 公司创始人、 CEO ，同时，大会还汇聚了 100 余位全球青年科学家、 200 余位人工智能顶尖学者和产业专家，围绕多模态、深度推 理、下一代 AI 路径、 Agent 智能体、具身智能、 AI4S 、 AI 产业、 AI 安全、 AI 开源展 ...

第十届"创客中国"智能机器人中小企业创新创业大赛是由工业和信息化部网络安全产业发展中心（工业和信息 化部信息中心）联合中国机械工业联合会、上海市中小企业发展服务中心（上海市中小企业上市促进中心）共 同主办。 大赛以"创新驱动、智能进化、场景赋能、生态协同"为宗旨，致力于推动机器人行业的技术突破与应用拓展。 旨在激发创新潜力，集聚机器人行业创业资源，营造创新创业氛围，打造为机器人行业提供交流展示、项目孵 化、产融对接、协同创新的平台，发掘和培育一批优秀项目和优秀团队，催生新产品、新技术、新模式和新业 态，推动我国机器人高质量发展，推动机器人行业中小企业转型升级和成长为专精特新中小企业，支持大中小 企业融通发展，推进科技成果转化，推动科技创新和产业创新深度融合，实现"以赛促创新活力、以赛促供需 对接、以赛促'四链'融合、以赛促大中小融通"的目标，加速培育新质生产力，服务国家新型工业化建设，助力 构建现代化产业体系。 去年，第九届"创客中国"智能机器人中小企业创新创业大赛收到来自全国22个省市的196个项目报名，最终9 个项目获专精特新直通、2个项目获小巨人直通，人形机器人相关项目占总项目数量的40%以上，其中他山 ...

Core Viewpoint - The company, Estun, plans to issue H-shares and list on the Hong Kong Stock Exchange to enhance its global strategy, accelerate overseas business development, and improve its international brand image [1][3]. Group 1: Company Strategy and Developments - Estun aims to deepen its global strategy and enhance its core competitiveness through the issuance of H-shares [1]. - The company will submit the issuance and listing plan for approval at the shareholders' meeting and requires regulatory approvals from various authorities [3]. - Estun's business covers the entire industrial chain from automation core components to intelligent manufacturing systems [3]. Group 2: Market Performance and Growth - According to MIR statistics, the domestic robot brand growth rate is expected to exceed the overall market growth rate in 2024, with Estun projected to be the top domestic brand in multi-joint industrial robot shipments [3]. - In Q1 2025, Estun reported a revenue of 1.244 billion yuan, a year-on-year increase of 24.03%, and a net profit of 12.63 million yuan, up 93.43% year-on-year [3]. Group 3: Future Plans - For 2025, Estun's strategic focus will be on global layout, strategic focus, technological breakthroughs, and operational efficiency to achieve profitability [4]. - The company plans to expand into markets in Europe, the Americas, the Middle East, and Southeast Asia, focusing on opportunities with leading domestic clients in the new energy and lithium battery sectors [4]. - Estun will establish an overseas manufacturing base in Poland to create a global capacity layout and supply chain system [4].

Core Viewpoint - The latest research from Chinese scientists demonstrates that a new generation of visual prosthetics, utilizing brain-machine interface technology, not only restores visible light vision in blind animals but also expands their visual capabilities, offering new possibilities for restoring vision in blind patients [1][4]. Group 1: Research and Development - The research was conducted by a collaborative team from Fudan University and the Shanghai Institute of Technical Physics, with results published in the journal Science [2]. - The team developed the world's first visual prosthetic with a broad spectral coverage range (470-1550nm), enabling blind animal models to regain visible light vision and perceive infrared light, thus achieving "super vision" capabilities [4][5]. - The TeNWNs retinal prosthetic has the highest known photogenerated current density and the widest spectral coverage for visual reconstruction and expansion, spanning from visible light to near-infrared [5][8]. Group 2: Mechanism and Functionality - The TeNWNs prosthetic replaces degenerated photoreceptor cells in the retina, converting light signals into electrical signals, effectively activating surviving retinal neurons [8]. - The prosthetic is self-powered and does not require external devices, successfully allowing blind mice to perceive visible light [8][10]. - Experiments on non-human primate models showed no adverse rejection reactions after six months, laying a foundation for future clinical applications [10]. Group 3: Ethical Considerations and Future Directions - The dual characteristics of the prosthetic, combining "bionic restoration" and "functional expansion," avoid the risks associated with invasive brain surgeries while pushing the limits of human natural vision [10]. - Current medical ethics constraints prevent the research from entering clinical trial phases, but the technology holds promise for enabling blind individuals to experience vision and potentially surpass physiological limits [10]. - The research team aims to assist blind patients through both biological prosthetic materials and gene therapy, addressing different stages of blindness [11].

会议强调，要系统谋划、协同推进，一体推动战略、规划、政策、标准等方面任务落实，为人工智能产业发展和 赋能新型工业化打造良好的生态环境，充分激发创新活力。 要夯实产业基础。 强化算力供给，统筹布局通用大模 型和行业专用大模型，注重软硬件适配，加快建立高质量行业数据集，提升重点产品装备的智能化水平。要塑造 应用优势。推动大模型在制造业重点行业落地部署，加快凝练应用场景需求，加快制造业全流程智能化升级，变 革生产管理模式。培育一批人工智能赋能应用服务商，加快推动行业专用大模型落地应用与迭代升级。 要强化标 准引领。 统筹推进人工智能标准工作，发挥有效市场和有为政府的作用，分级分类、体系化推进标准制定，有效 发挥标准的基础性、引领性、支撑性作用。 要壮大产业生态。 着力培育人工智能优势企业，支持人工智能中小企 业专精特新发展。健全人工智能开源机制，加快建设高水平人工智能开源社区，打造开放共享的开源生态。加大 财税政策支持，引导社会资本加大投入。持续拓展人工智能产业国际合作。 要统筹发展和安全。 加强安全治理保 障，强化风险研判应对，推进深度合成检测技术攻关，加快制定人工智能科技伦理管理服务办法，引导产业健康 有序发展 ...