创业前，杨一鸣在英国爱丁堡大学攻读人工智能与机器人硕博士学位。2019年4月，杨一鸣回国创立墨 影科技，不仅成为宝安区年度重点投资推广项目，也成为国内首个专注于移动协作机器人（MCR）及 其应用集成系统开发的初创型公司。 "在机器人产业蓬勃发展与人工智能政策强力驱动下，各行业对机器人的需求呈现爆发式增长，涌现出 成千上万的多样化应用场景。面对这一突如其来的市场增量，机器人底层系统却仍然在沿用多年不变的 模式。要破解这一瓶颈，机器人底层系统需要升级，大幅加快新产品、新项目的开发和落地速度。"近 日，深圳市墨影科技有限公司董事长杨一鸣接受采访时说，基于多年的研究积累，墨影科技打造了全球 领先的机器人系统平台，推动产业新生态，让机器人开发与应用落地更简单更高效。 努力开发通用智能机器人操作系统 墨影的移动协作机器人将机械臂和移动机器人的控制器一体化，通过一个"大脑"快速部署机器人的"手 脚眼"协同作业，更加便捷、柔性、稳定。"机器人应用于工厂，需要各类管理系统，墨影科技的操作系 统可以统一打通，让工厂机器人应用更轻松。"杨一鸣说。 当下，墨影科技正在开展中长期布局——基于技术优势，耐心打磨，推出适用于所有机器人应用 ...

中新网长春7月12日电 (李彦国 高龙安)搭载智驾系统的新车型造型前卫，人们排队上车体验；从高级礼 宾车到敞篷检阅车，多款红旗品牌历史车型集中亮相；经典车型组成的车队驶过城市的大街小巷，仿佛 穿越了时空…… 7月12日，第22届长春国际汽车博览会(以下简称"长春汽博会")与第七届中国一汽红旗嘉年华同步启 幕，一面集中展示红旗品牌"All in"新能源战略成果，一面将经典红旗车型驶出"博物馆"，让人们触 摸"历史"，感受中国汽车工业发展脉搏。 7月12日， 第22届长春国际汽车博览会开幕，观众在参观红旗汽车。 张瑶 摄 本届长春汽博会的红旗品牌展厅，观众络绎不绝，从燃油、纯电，到插混、增程，十几款新车型同时展 示。其中，几款搭载了智驾系统的车型造型前卫，观众排队上车体验，感受人工智能带来的便捷服务； 国礼、国雅、国耀三款车型豪华大气，融合中国汽车工业顶级技术与中国传统美学设计，引来众人围观 拍照。 中国一汽董事长邱现东介绍，今年上半年，中国一汽实现整车销量157.1万辆，品牌价值高居行业榜 首，其中，红旗品牌销量22.5万辆，持续保持稳健增长态势。 "看，带话筒的红旗车。""这款红旗CA770TJ车型是1984 ...

优必选是全球极少数具备人形机器人全栈式技术能力的公司，并率先实现了人形机器人的 落地应用。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息，在启明创投第十六届人民币基金年会暨投资人高峰论坛上， 启明创投创始主管 合伙人邝子平与优必选科技创始人、董事会主席兼首席执行官周剑以 "洞见人形机器人产业的未 来"为主题展开对话。 双方围绕人形机器人行业的发展现状与应用场景、具身智能技术在提升成本效 益与工作效率方面的潜力，以及优必选的核心竞争优势等话题进行分享。 针对行业新竞争者的出现，周剑表示优必选欢迎人形机器人领域的合作伙伴与竞争对手，强调该市场 空间广阔且细分领域丰富。同时他指出，具身智能技术要求机器人具备自主识别与理解、环境感知及 任务执行的能力，这对所有初创企业的技术能力提出了极高的要求。 无论是人形机器人行业中的 "前浪"还是"后浪"，只有真正取得技术突破、实现技术落地的企业才能立足；优必选坚信只要坚持 下去，做难而正确的事就一定有机会。 针对人形机器人商业化落地的经济性评估，邝子平指出， 仅仅部署一两台人形机器人在工厂里做 demo 有一定可 ...

Group 1 - The 2025 Beike Finance Annual Conference opened with the theme "China's Economy: Co-Growth of Openness and Resilience" [2] - The conference featured discussions on the importance of production service industries in driving new productive forces and technological innovation [8][9] - The launch of the "Technology Capital Co-Innovation Plan" by Beike Finance aims to foster collaboration between technology and capital [16] Group 2 - Reports released at the conference highlighted the increasing deployment of AI applications in businesses, with 89.84% of surveyed companies utilizing AI in various operational aspects [16][17] - The "Haidian is the 'Source' Report" outlines Haidian District's role as a global AI innovation hub, emphasizing talent density and institutional innovation [16] - The second edition of the "China AI Large Model Evaluation Report" indicates a 22.9 percentage point increase in media professionals using large models, with significant potential for efficiency improvements [17]

Core Viewpoint - The implementation of the new national standard for "Te Xiang" (special aroma) liquor, led by Si Te Jiu, is hailed as a milestone for the high-quality development of China's liquor industry, transforming a local specialty into a nationally recognized category [1][5]. Group 1: Recognition Breakthrough - The new standard addresses long-standing misconceptions about "Te Xiang" liquor, which was previously misunderstood as having undesirable flavors. The standard now uses relatable descriptions, making it easier for consumers to understand [5]. - This shift from regional to national recognition establishes a solid foundation for "Te Xiang" liquor to transition from local memory to national awareness [5]. Group 2: Quality Standardization - The new standard introduces scientific quantification of quality, setting specific requirements for various chemical indicators, which enhances consumer perception of quality and provides strict guidelines for production [6]. - The standard emphasizes the advantages of "Te Xiang" liquor in aging processes, moving away from subjective assessments to clear, measurable criteria [6]. Group 3: Craftsmanship and Differentiation - The new standard outlines specific production techniques that distinguish "Te Xiang" liquor from other types, reinforcing its unique characteristics and providing a standardized framework for its production [8]. - This recognition of craftsmanship is expected to promote healthier and more orderly development within the industry, enhancing consumer understanding and facilitating nationwide promotion [8]. Group 4: Strategic Advancement for Regional Brands - The implementation of the new standard marks a significant milestone for regional liquor brands aiming for national recognition, allowing Si Te Jiu to transition from a regional leader to a nationally recognized brand [8]. - This development establishes a unique competitive advantage for Jiangxi's liquor industry within the broader Chinese liquor landscape [8]. Group 5: Brand Evolution - Si Te Jiu has successfully transformed its brand from a local specialty to a nationally recognized product through a well-defined product matrix that caters to evolving consumer preferences [9]. - The brand's journey illustrates the perfect integration of traditional craftsmanship with modern standards, paving the way for regional liquor brands to enter national markets [9].

Core Insights - The emergence of AI agents with autonomous planning and task closure capabilities is reshaping the technology landscape, attracting major global tech companies to compete in this space [1][6] - The year 2025 is anticipated to be the "year of industrialization for AI agents," as these technologies transition from experimental phases to practical applications across various industries [3][12] Group 1: Industry Development - AI agents are defined as AI applications built on large models, characterized by autonomy, interactivity, responsiveness, and adaptability, enabling them to perceive environmental changes and make decisions [2][4] - Major tech companies, including Microsoft, Google, Alibaba, Tencent, and Baidu, are investing in AI agent development platforms to facilitate the creation of various agents [3][4] - The market for AI agents is projected to grow significantly, with estimates indicating an increase from $5.1 billion in 2024 to $47.1 billion by 2030, reflecting a compound annual growth rate of 44.8% [7] Group 2: Technological Advancements - The development of AI agents is supported by advancements in large model generation, coding capabilities, image and video processing, and 3D modeling, providing a solid foundation for their application [4][11] - AI agents complement large models by enabling practical execution of tasks, thus enhancing the overall functionality of AI systems [4][5] - The integration of AI agents into enterprise operations is expected to address challenges such as fragmented AI applications and low return on investment [5] Group 3: Market Challenges - Many AI agents are still in the "semi-finished" stage, struggling to achieve a complete task closure, which hinders their practical application [8][9] - The need for a unified communication framework and task allocation rules among multiple AI agents is critical for effective collaboration and maximizing their potential [9][10] - The current landscape shows a high product turnover rate for AI agents, primarily due to their inability to fully meet user needs and complete complex tasks [8][9] Group 4: Strategic Initiatives - Companies are adopting a combination of ecosystem, technology, and policy strategies to overcome challenges in the AI agent market [10][11] - Collaborations, such as that between Alibaba and Manus, exemplify how integrating specialized capabilities into existing ecosystems can enhance user retention and reduce development costs [10] - The establishment of industry standards and supportive policies is expected to accelerate the development and application of AI agents [11]

详细会议介绍参看往期文章： （点击蓝字跳转） IRCTC 2025报告嘉宾重磅揭晓！ 72小时后早鸟票关闭！ 截稿延期通知：IRCTC2025九大期刊联合征文延期至7月12日！ 运动控制能力作为决定环境适应性与任务执行能力的核心技术，是人形机器人从实验室迈向规模化应用 最重要的门槛之一。 7月7日， 北京人形机器人创新中心（后称北京人形）正式发布开源运动控制框架 Tien Kung-Lab，将机器人马拉松冠军的运控算法面向行业开源 ，填补高性能人形机器人运动控制框架 在开源领域的空白，为工业场景、物流场景与特种作业场景等高复杂环境下规模化应用提供核心基础技 术支撑。 Tien Kung-Lab是一套基于Isaaclab开发的开源强化学习运动控制算法框架，该框架融合前沿的强化学习 技术和人体运动数据，旨在让人形机器人实现自然、高效、稳定的运动控制。在此前进行的全球首届人 形机器人马拉松比赛中，搭载该运控算法的天工Ultra以2时40分42秒跑完21.0975公里，夺得全球首个 人形机器人马拉松冠军。 该方法首次融合了模仿学习与强化学习的优势，基于 Adversarial Motion Prior（AMP）风格化 ...

证券研究报告 | 公司点评 | 软件开发 ——索辰科技股权激励点评 投资要点 公司的股权激励计划授予的激励对象总人数为 85 人，约占公司截至 2024 年 12 月 31 日员工总数 323 人的 26.32%。 包括：（1）核心技术人员；（2）核心骨干及董事会认为需要激励的其他人员。 其中考核目标为： 2025 年： 触发值：以 2024 年营业收入为基数，2025 年营业收入增长率不低于 8%；且 2025 年度物理 AI 产品收入达到 2000 万元。 目标值：以 2024 年营业收入为基数，2025 年营业收入增长率不低于 10%；且 2025 年度物理 AI 产品收入达到 3000 万元。 索辰科技(688507) 报告日期：2025 年 07 月 06 日 优化薪酬结果，激励核心技术骨干，稳定人才团队 2026 年： 触发值：以 2024 年营业收入为基数，2026 年营业收入增长率不低于 16%；且 2025-2026 年度物理 AI 产品收入达到 4000 万元。 目标值：以 2024 年营业收入为基数，2026 年营业收入增长率不低于 20%；且 2025-2026 年度物理 AI 产品收 ...

Core Viewpoint - The Global Open Source Innovation Development Forum held during the 2025 Global Digital Economy Conference emphasizes the importance of open source technology in driving high-quality development of the global digital economy [1][2]. Group 1: Open Source Development in Beijing - Beijing is highlighted as one of the cities with the richest open source resources and the most active open source innovation, hosting over half of the country's open source startups [1]. - Notable open source projects such as "PaddlePaddle," "Xiangshan," and "Tiangong Robot" have emerged from Beijing, contributing to the prosperity of China's open source ecosystem and international development [1]. - The city plans to implement four strategic initiatives: accelerating the construction of the open source ecosystem, fostering star open source projects, enhancing talent cultivation, and deepening international cooperation in open source [1]. Group 2: Role of National Industrial Information Security Development Research Center - The center emphasizes open source as a new production method characterized by openness, co-construction, sharing, and governance, which is crucial for driving global technological and industrial transformation [2]. - The center aims to continue leading the construction of China's open source ecosystem and establish regular cooperation mechanisms with domestic and international open source organizations [2]. - A joint declaration titled "Beijing Declaration on Open Source Innovation of AI" was initiated by the center and over ten domestic and international open source institutions, proposing six initiatives to promote a fair and inclusive AI open source ecosystem [2]. Group 3: Open Source Project Evaluation - The center, in collaboration with various "industry-academia-research-application" entities, launched a "Quantitative Assessment and Intelligent Prediction System for Open Source Projects" to guide healthy development [3]. - This initiative aims to create a predictive model for the growth potential of open source projects and establish a set of evaluation indicators to identify outstanding open source projects [3].

Group 1 - The Global Open Source Innovation Development Forum was held during the 2025 Global Digital Economy Conference, co-hosted by the National Industrial Information Security Development Research Center, Open Source China, and the International In-source Foundation [1] - Beijing is highlighted as a city rich in open source resources and innovation, hosting over half of the country's open source startups and producing notable projects like "PaddlePaddle," "Xiangshan," and "Tiangong Robotics" [1] - Four strategic initiatives will be prioritized by Beijing to enhance the open source ecosystem, including accelerating ecosystem construction, fostering project cultivation, strengthening talent development, and deepening international cooperation [1] Group 2 - The National Industrial Information Security Development Research Center emphasizes that open source is a new production method characterized by openness, co-construction, sharing, and governance, which is crucial for driving global technological and industrial transformation [2] - A joint declaration titled "Beijing Declaration on Open Source Innovation of AI" was initiated by the center and various domestic and international open source organizations, proposing six initiatives to promote a fair and inclusive AI open source ecosystem [2] - The forum featured discussions on AI-driven open source ecosystem construction and global community culture, with key topics including AI technology monopoly, internal enterprise open source, data compliance, and OSPO [3]