Group 1 - The "Xingzhe No. 2" robot, developed by a team from Shanghai University of Technology, has been accepted into the Shanghai Theatre Academy's doctoral program, marking a significant milestone in the integration of robotics and education [1] - AiMOGA Robotics has achieved a breakthrough with its humanoid robot Mornine, which can autonomously open car doors using onboard sensors and reinforcement learning, showcasing its capabilities in real retail environments [5] - A multi-robot system for lunar exploration has been developed by researchers from the University of Ljubljana and UCLA, demonstrating high reliability and robustness in various testing conditions, funded by the European Space Agency [7] Group 2 - The "Nanny Robot Conference" has been officially launched, focusing on the revolution of robots in daily life, with competitions and exhibitions planned to showcase various applications of nanny robots [10] - 4AG Robotics has secured CAD 40 million in Series B funding to enhance its mushroom-picking robots, which are already operational in Canada, with significant orders expected through 2026 [11]

Core Viewpoint - The article discusses the challenges of retinal injections for genetic therapies and presents a novel solution involving a head-mounted surgical robot that improves precision and success rates in these procedures [1][11]. Group 1: Challenges in Retinal Injections - Retinal injections for genetic therapies, such as Luxturna, are difficult due to precision issues, as the retina is only 300 micrometers thick, requiring exact placement of the needle [2][3]. - Stability is a significant concern, as maintaining the needle's position during slow injections (0.18 ml per minute) is nearly impossible due to patient movement [2][3]. - Patient head movement can cause needle misalignment, with studies showing that even with the head fixed, movements can reach 2 to 5 millimeters, leading to potential complications [3]. Group 2: Innovative Design of the Head-Mounted Robot - The research team from the University of Utah developed a head-mounted surgical robot that moves with the patient's head, addressing the challenge of head movement during procedures [6][7]. - The robot, weighing only 0.8 kilograms, utilizes piezoelectric actuators for positioning accuracy better than 1 micrometer, significantly reducing the impact of human hand tremors [7]. - A hybrid experimental method was employed to simulate real surgical conditions, using a pig's eye mounted on a special headset worn by a volunteer [7][9]. Group 3: Success Rates and Technical Breakthroughs - The system achieved a 100% success rate in 21 injection attempts, compared to a combined success rate of 63.6% for manual injections, highlighting the effectiveness of the robotic system [9][11]. - Key factors contributing to this success include the head-mounted design, high-precision robot, real-time optical coherence tomography (OCT) imaging, and slow injection rates allowing for adjustments [9][10]. - The use of a flexible 38-gauge polymer needle helped compensate for minor movements, maintaining stability during the injection process [9]. Group 4: Implications for Clinical Applications - The head-mounted surgical robot could significantly enhance the success rates of retinal injections, potentially allowing more physicians to perform these complex procedures [11]. - The system's ability to operate under local anesthesia reduces risks associated with general anesthesia, particularly for elderly patients [11]. - Future applications may extend beyond ophthalmology to other high-precision surgeries, such as neurosurgery and ENT procedures, benefiting from this innovative design [12].

Core Viewpoint - The development of the embodied intelligence industry is rapid, but scalable applications remain limited, resembling the state of computer vision in 2010, where technology was emerging but the industry was still in a trial-and-error phase [1][2]. Group 1: Industry Challenges - Many companies are reinventing the wheel, making it difficult to form a collective effort to advance the industry [2]. - The Shanghai AI Lab has launched the "Intern - Robotics" platform to establish standardized production lines for embodied intelligence [3]. Group 2: Technological Innovations - The platform has attracted 15 leading players, enabling various types of robots to use the same system for development [5]. - The "Intern - Robotics" platform may represent an "Android moment" for the field of embodied intelligence [6]. Group 3: Simulation Engine - The simulation engine significantly reduces trial-and-error costs, allowing developers to test algorithms without risking expensive robots [7]. - The platform's simulation capabilities enable rapid deployment of algorithms across different robots with minimal coding [8][10]. Group 4: Data Integration - The platform employs a virtual-real data integration approach, allowing for efficient data collection at a fraction of traditional costs [12][16]. - A key ratio for data collection is established at 1:5 to 1:10 for real to synthetic data, optimizing the training process [14]. Group 5: Unified Development Process - The platform offers a standardized development process, integrating training and testing tools to streamline model evaluation [19]. - Modular architecture allows teams to focus on their innovations without reinventing existing solutions [22]. Group 6: Open Source Strategy - The platform adopts an open-source approach, making all code and models available on GitHub and Hugging Face, fostering industry collaboration [23][24]. - The initiative supports various tasks and datasets, enhancing the development of embodied intelligence [26]. Group 7: Industry Feedback - Companies express a need for unified training systems to improve efficiency in developing complex tasks involving multiple robot types [28]. - Collaborative efforts with innovation centers have led to significant improvements in data collection and training efficiency [29]. Group 8: Standardization and Scalability - The "Intern - Robotics" platform aims to establish unified development standards, similar to how USB and HTTP protocols standardized connections and communications [30]. - Achieving a significant reduction in data collection costs and development time indicates a potential "iPhone moment" for embodied intelligence [30][31].

Core Viewpoint - Hefei Zero Point Robot Co., Ltd. has recently completed a series of financing rounds, indicating strong investor interest in its embodied intelligence technology and commercial applications [1][4]. Financing and Investment - The company has successfully raised funds through Angel+ and Angel++ rounds, with investments from various venture capital firms [1]. - The funds will be allocated to three main areas: technology development, production acceleration, and ecosystem building [2]. Technology Development - Zero Point is focusing on enhancing its specialized scene large model algorithms to overcome dynamic decision-making challenges in complex scenarios [2]. - The company has developed the Zerith-V0 model, which enables long-sequence multi-task operations, positioning it as a leader in the domestic market [5]. Production and Delivery - The company aims to accelerate the construction of flexible production lines for humanoid robots, targeting the delivery of 500 robots by the end of the year [2][13]. - Zero Point has already begun delivering its Zerith-H1 products and plans for large-scale shipments starting in August [13]. Ecosystem and Market Position - Zero Point is building a comprehensive data hub in collaboration with industry capital and government institutions to address data collection and management challenges in the embodied intelligence sector [2][16]. - The company has established a complete product matrix, including hardware and software solutions, which strengthens its competitive edge in the market [14][16]. Reliability and Performance - During a recent demo event, Zero Point showcased over 10 application scenarios with a 0% failure rate, demonstrating the reliability and maturity of its technology [9]. Future Outlook - The founding team envisions embodied intelligence as a means to reshape productivity rather than replace human labor, aiming to reduce the cost of robot usage to 60% of human labor within three years [17]. - Investors express confidence in Zero Point's ability to lead the embodied intelligence sector, highlighting its innovative technology and practical applications [19][20][21].

大会主旨报告 主旨报告嘉宾 ■ ■ 丁 汉 华中科技大学 教授 报告题目 ) 机器人化智能制造 杨华勇 浙江大学 教授 ) 融入AI算法的机器人触觉感知 报告题目 及交互系统 郑庆华 同济大学 教授 报告题目 )迈向强人工智能的路径分析 家 lli 北京航空航天大学 教授 报告题目 )仿生智能系统一从理论研究 到工程实践 张建伟 汉堡大学 教授 报告题目 数据与模型协同驱动机器人能力、 造福人类 高 峰 上海交通大学 教授 报告题目 智能机器人开发面临的挑战与机遇 季向阳 清华大学 教授 报告题目 ) 机器视觉空间计算技术及应用 公众号 ·第六届机器人学术年会 大会主题报告 I 论坛主席 ■ ■ 侯增广 中国科学院自动化研究所 研究员 朱延河 哈尔滨工业大学 教授 王贺升 上海交通大学 教授 论坛讲者 ■ 宋爱国 东南大学 教授 报告题目 | 基于脑机接口的临场感机器人技术 丁希仑 北京航空航天大学 教授 报告题目 )多模式移动操作机器人研究 王大轶 北京空间飞行器总体设计部 研究员 报告题目 | 基于能力定量表征的空间飞行器自 主诊断重构 尹周平 华中科技大学 教授 报告题目 人形机器人灵巧操作中柔性感知技 ...

在人形机器人技术快速发展的背景下，灵巧手作为核心组成部分，其感知能力的提升对于完成复杂操作任务具 有重要意义。 苏州航凯微电子技术有限公司（以下简称"航凯微电"）凭借自身深厚的技术积累和创新能力， 成功研发出立体式多模态复合型触觉传感器。 该传感器为人形机器人灵巧手提供了强大的感知能力，为人形 机器人技术的发展注入了新的动力。 截至目前，航凯微电与多家单位建立了合作关系，包括浙江人形机器人创新中心、中科灵犀、银河通用、星辰 智能等企业，以及东京电气通信大学、西安交通大学、上海交通大学、浙江大学等高校。 01 传感器核心优势：曲面全覆盖，拒绝感知盲区 航凯微电推出的 立体式多模态复合型触觉传感器指腹搭载先进的三维力检测模块，能够实时解析 X/Y/Z 轴 的力反馈，让灵巧手的抓取操作不再是简单的"夹取"，而是像人手般精准感知力度的深浅。这一功能在人形 机器人的实际应用中意义重大，例如在抓取易碎物品时，灵巧手能够根据实时反馈的力信息，精确控制抓取力 度，避免因用力过猛导致物品损坏，或因力度不足导致物品滑落，从而显著提高操作的安全性和可靠性。 传感器的两侧与指尖配备了压力检测区，形成了曲面全覆盖检测能力。这一点在实际 ...

Core Viewpoint - The medical robotics industry has entered a complex phase by 2025, with evolving product forms, clearer clinical pathways, and a more rational capital environment [1] Group 1: Event Overview - The Third Global Surgical Robotics Conference will focus on the systematic upgrade of intelligent surgical systems, the construction of a full-chain ecosystem, and global pathways [1][2] - The event will serve as a platform for discussing not only leading devices but also how future medical systems will be restructured by robotics [3] Group 2: Conference Details - The conference is scheduled for September 5-6, 2025, at the Beijing Zhongguancun National Independent Innovation Demonstration Zone Exhibition and Trading Center [4] - The agenda includes an opening ceremony, a visit to a robot leasing hospital, and a dinner for surgical robot marketing leaders [5][6] Group 3: Key Topics - Core architectural trends of next-generation surgical robots will be discussed, including AI integration to enhance autonomy and system collaboration efficiency [7] - Topics will cover commercialization and hospital system implementation, global strategies and pathways for expansion, and the integration of engineering and medical fields [8][9][10] Group 4: Industry Challenges and Opportunities - The conference will address challenges in the integration of surgical robots with hospital systems and the construction of a global leading R&D system [13] - It will explore the commercialization pathways of surgical robots, comparing global market experiences and analyzing hospital procurement decision-making processes [13] - Discussions will include how to transform clinical needs into engineering goals and the optimization of human-computer interaction experiences [13] Group 5: Industry Recognition - The MedRobot annual awards have become one of the most recognized technology awards in the Chinese medical robotics field, highlighting key players and innovations [18]

Core Viewpoint - The article highlights the innovative advancements of Daimeng Robotics in tactile sensing technology, which have garnered attention from major tech players like Huawei, showcasing the company's potential in the robotics industry [1][3][4]. Group 1: Company Background and Technology - Daimeng Robotics was officially launched in August 2023, incubated by the Hong Kong University of Science and Technology, with a strong focus on converting cutting-edge research into marketable products [3]. - The company specializes in areas such as visual-tactile sensors, multi-finger dexterous hand design, humanoid behavior learning, and the integration of visual and tactile perception models [3][4]. - The tactile perception technology developed by Daimeng Robotics is crucial for enhancing robot performance, enabling them to perform delicate tasks similar to human capabilities [4][6]. Group 2: Key Innovations - Daimeng Robotics has developed the DM-Tac W, the world's first multi-dimensional high-resolution tactile sensor, which utilizes optical principles for force signal detection, simplifying structure and reducing manufacturing costs [10][11]. - The DM-Tac W sensor has a perception density of 40,000 sensing units per square centimeter, significantly surpassing the human fingertip's density of 240 receptors, allowing for precise manipulation in complex environments [11]. - The company also introduced the DM-Hand1, a five-finger dexterous hand that integrates its tactile sensors, achieving near-human-like operational capabilities [15][18]. Group 3: Product Applications and Market Impact - The DM-Tac W sensor has received CE and FCC certifications and is being commercialized in various sectors, including industrial automation and smart logistics, indicating its broad applicability [14]. - The DM-EXton, a portable wearable remote operation data collection system, enhances remote control and data acquisition for robots, featuring a lightweight design and high sampling frequency [19][21]. - Daimeng Robotics aims to bridge the gap between laboratory research and practical applications, contributing to the widespread adoption of tactile sensing technology in the robotics industry [23][24].

Group 1 - Skild AI, supported by Amazon and SoftBank, launched a general AI model "Skild Brain" that adapts to various hardware from industrial robotic arms to humanoid robots, enhancing autonomous decision-making and navigation capabilities [1] - The collaboration between Giant Star Legend and Yushu Technology focuses on developing companion four-legged robotic dogs, leveraging IP resources and hardware technology to expand the consumer robot market globally [4] - StrongRay Technology has initiated humanoid robot business with some order deliveries, emphasizing the uncertainty in business expansion while utilizing powder metallurgy and MIM technology for high-precision components [7] Group 2 - NVIDIA's VP Deepu Talla will deliver a keynote speech at RoboBusiness 2025, discussing physical AI that enables robots to perceive, reason, and act in real environments, marking a shift from rule-based to adaptive intelligent agents [10] - Apera AI completed an oversubscribed Series A funding round to enhance its 4D vision system, aimed at improving industrial robots' visual recognition accuracy and operational speed, serving clients in the automotive sector [13]

我国正处于具身智能发展的热潮之中，关于具身智能机器人的讨论热度持续高涨。 7月26日至28日，以"智 能时代 同球共济"为主题的世界人工智能大会暨人工智能全球治理高级别会议在上海举行， 线下参观人数突 破30.5万人次，全网流量超23.6亿，100余款具身智能产品亮相，展现了全球对于具身智能发展的广泛关 注。 李强书记在 7月26日出席活动时 指出， 当前，全球智能化浪潮风起云涌，人工智能领域创新呈群体性突破 之势，语言大模型、多模态大模型和具身智能等领域日新月异，推动人工智能向更高效、强智能的方向快速发 展。人工智能与实体经济深度融合的特征更加明显，已经开始赋能千行百业、走进千家万户，成为经济增长的 新引擎，渗透到社会生活各方面。 那么， 随着人形机器人与具身智能 技术迭代与应用落地的双重突破， 到底何时、何地、以何种方式落场 景，助力人类生产生活？ 2025 年下半年，一场在具身智能领域备受瞩目的大赛——第二届中关村具身智能机器人应用大赛，即将拉开 帷幕，让行业更进一步，真刀真枪展示机器人技术实际落地的可能性， 为投资机构提供真实考核样本，为下 游客户提供采购选型参考。 作为本次大赛的主办地，海淀区依托丰 ...