今年2月6日，乐享科技宣布完成天使轮融资，该轮融资由IDG资本领投、Monolith、经纬创投、真格基 金、红杉种子基金、绿洲资本跟投，融资总金额近2亿元，投后估值约为6亿元。 三个月后，乐享科技于5月26日宣布完成亿元级"天使+"轮融资，由锦秋基金领投，老股东经纬创投、绿 洲资本、Monolith超额加投，光源资本跟投，光源资本担任独家财务顾问，投后估值近12亿元。 9月28日，消费级具身智能机器人企业苏州乐享智能科技有限公司（以下简称"乐享科技"）正式宣布完 成2亿元"天使++"轮融资。 本轮融资由钟鼎资本领投，老股东IDG资本持续加投。资金将主要用于自研核心零部件攻关、机器人本 体与运动控制技术开发及意识仿生模型迭代等，目标加速消费级具身智能产品规模化落地。 成立9个月完成三笔总额近5亿元融资 乐享科技成立于2024年12月，位于吴中经开区，是一家专注于消费级具身智能机器人的企业，拥有传感 器等硬件研发、算法及生成式AI等核心技术。 自2024年12月成立以来，乐享科技已在9个月内完成三轮融资。 乐享科技创始人郭人杰出生于1997年，15岁进入西安交通大学少年班，21岁从伦敦政治经济学院经济学 专业研究 ...

Core Viewpoint - The global robotics market is projected to exceed $1.2 trillion by 2030, indicating a significant growth opportunity despite previous uncertainties in business monetization paths [3][7]. Group 1: Industry Trends - The robotics industry has faced a period of unclear business paths, with companies focusing on long-term value creation rather than immediate financial returns [6][7]. - A shift is expected by 2025, driven by advancements in embodied intelligence and increased investment activity, leading to a more structured ecosystem [8][9]. Group 2: JD's Strategic Positioning - JD has launched its embodied intelligence brand, JoyInside, aiming to become a key player in the robotics market by providing both hardware and software solutions [12][14]. - JoyInside offers a comprehensive solution that integrates hardware, software, and ecosystem support, addressing the technical gaps faced by traditional robotics companies [18][39]. Group 3: AI Toy Market Dynamics - The AI toy market is anticipated to surpass $10 billion by 2030, with a growth rate exceeding 70%, attracting significant interest from major players [21][22]. - JoyInside enhances AI toys by providing intelligent interaction capabilities, making them more appealing to consumers and increasing user engagement [25][27]. Group 4: Competitive Advantages - JD's JoyInside platform leverages its extensive retail experience and data to optimize user interactions and improve the overall customer experience [39][41]. - The integration of JoyInside into various AI products has shown significant improvements in user engagement, with some products experiencing over 120% increase in interaction [31][43].

记者丨陈归辞 编辑丨卜羽勤 9月28日，消费级具身智能机器人企业苏州乐享智能科技有限公司（以下简称"乐享科技"）正 式宣布完成2亿元"天使++"轮融资。 本轮融资由钟鼎资本领投，老股东IDG资本持续加投。资金将主要用于自研核心零部件攻关、 机器人本体与运动控制技术开发及意识仿生模型迭代等，目标加速消费级具身智能产品规模化 落地。 乐享科技创始人兼CEO郭人杰。图源：乐享科技微信公众号 成立9个月完成三笔总额近5亿元融资 乐享科技成立于2024年12月，位于吴中经开区，是一家专注于消费级具身智能机器人的企业， 拥有传感器等硬件研发、算法及生成式AI等核心技术。 自2024年12月成立以来，乐享科技已在9个月内完成三轮融资。 今年2月6日，乐享科技宣布完成天使轮融资，该轮融资由IDG资本领投、Monolith、经纬创 投、真格基金、红杉种子基金、绿洲资本跟投，融资总金额近2亿元，投后估值约为6亿元。 三个月后，乐享科技于5月26日宣布完成亿元级"天使+"轮融资，由锦秋基金领投，老股东经纬 创投、绿洲资本、Monolith超额加投，光源资本跟投，光源资本担任独家财务顾问，投后估值 近12亿元。 完成本轮融资后，乐享 ...

每经记者｜孙磊 每经编辑｜裴健如 9月28日，在第七届世界新能源汽车大会上，华为智能汽车解决方案BU（以下简称华为车BU）CEO靳玉志表示，汽车产业正进行"三波浪潮"变革，并加速 迈向具身智能。 图片来源：主办方供图 从靳玉志的划分来看，目前汽车行业尚处智能化阶段。今年上市的新车，多数搭载了智能辅助驾驶功能。业内人士认为，从技术、市场、车企的战略布局来 看，2025年很可能是以高速和城区NCA（Navigation Cruise Assist，导航巡航辅助系统）为代表的智能辅助驾驶的起点。 "汽车行业的第一波浪潮是从2015年到2022年，处于电动化阶段，这个阶段电力代替燃油，出行成本大幅降低；第二阶段是2022年到2027年的智能化阶段， 算法替代司机，安全和体验大幅提升；第三阶段则是从2027年开始的自动化阶段，算法替代司机，重新定义安全和体验标准，极大提升出行效率和社会效 率。"靳玉志解释称。 "随着高速和城区NCA的加速普及，L3（级自动驾驶）将在2027年规模放量。"靳玉志认为，"中国汽车电动化的渗透率达到50%用了10年，而辅助驾驶的渗 透率提升到50%只用了5年。这说明智能化的趋势正在加速发展， ...

Core Insights - The event held in Mianyang, Sichuan, focused on "disruptive technologies and future industrial development," featuring discussions on cutting-edge fields such as embodied intelligent robots, nuclear medicine, and materials science [1] - The "Disruptive Technology Industrialization Index Report (2025)" was released, aiming to scientifically assess the transition of disruptive technologies from laboratory to application, providing strategic insights for future industrial trends and resource allocation [1] Disruptive Technology Industrialization Index (DTII) - The DTII was created to quantify the complex process of transforming disruptive technologies from ideas to products and industries, filling a gap in decision-making support for governments, markets, and enterprises [2] - The index features a unique "Five Forces" evaluation framework, which includes: 1. Technological Innovation Power 2. Industrial Development Power 3. Ecological Support Power 4. Future Growth Power 5. Market Transformation Power [2][3] Key Findings - The report identifies three critical findings regarding the core mechanisms and driving forces of disruptive technology industrialization [4] - A significant breakthrough is the revelation of the decisive role of the "R&D market" in early industrialization stages, particularly for technologies like high-temperature superconductors and controlled nuclear fusion, which often lack mature commercial products [4] - The report emphasizes that regions like Beijing, the Yangtze River Delta, and the Guangdong-Hong Kong-Macao Greater Bay Area serve as irreplaceable "innovation sources," creating a self-accelerating effect through the synergy of technological innovation, industrial development, and ecological support [4] Future Developments - The DTII will continue to evolve by integrating real-time data and AI analysis, enhancing dynamic monitoring and predictive capabilities, and expanding its coverage to strengthen international comparisons [5] - The goal is to transform the index from an assessment tool into a strategic navigation platform, acting as a "barometer" and "catalyst" for deep integration of technological and industrial innovation, contributing to the construction of a strong technological nation [5]

在第七届世界新能源汽车大会上，华为智能汽车解决方案BUCEO靳玉志表示，汽车产业正进行"三波浪 潮"变革，并加速迈向具身智能。第一波：2015-2022，电动化阶段，电力代替燃油，出行成本大幅降 低；第二波：2022-2027，智能化阶段，算法替代司机，安全和体验大幅提升；第三波：2027年开始， 自动化阶段，算法替代司机，重新定义安全和体验标准，极大提升出行效率和社会效率。"三波浪潮"变 革之后，汽车产业将加速迈向具身智能。靳玉志预计，随着高速和城区NCA加速普及，L3将在2027年 规模放量。目前，乾崑智驾已与赛力斯、江淮、北汽、上汽、广汽、长安、东风等车企合作，推出28款 车型，乾崑智驾搭载量已经突破100+万辆。 ...

副总裁、首席人力资源官钮嘉也出自"华为系"，曾是华为云计算与大数据平台产品线 HRD，后担任寒武纪 HRD、亚信安全 HRVP。 此外，具身业务部总裁姚卯青毕业于清华大学电子工程系，曾在 Waymo、蔚来汽车等任职，从智驾领域切进机器 人赛道后，负责 AI 技术开发及软件研发工作。高级副总裁、通用业务部总裁王闯则先在大疆激光雷达产品线的创 始团队，主导底层核心架构设计并打造行业标杆算法框架，后加入马赫创新，任 CTO 及系统架构负责人。 高级副总裁、首席科学家罗剑岚，曾在 GoogleX、Google DeepMind 担任研究科学家，并作为核心成员参与伯 克利人工智能实验室的机器人研究项目。其主导开发的 SERL/HIL 系统首次实现机器人真机强化学习任务成功率 100%，解决了传统强化学习难以适应现实复杂物理交互的问题。 近日，智元机器人在官网披露了最新合伙人团队名单。官网显示，邓泰华是创始人、董事长兼 CEO；彭志辉 （即"稚晖君"）为联合创始人、总裁兼 CTO；姜青松是合伙人、高级副总裁兼智能服务总裁；姚卯青是合伙人、 高级副总裁兼具身业务部总裁；王闯是合伙人、高级副总裁兼通用业务部总裁；罗剑岚是合伙 ...

康多机器人® SR2000 腹腔内窥镜手术系统创新性搭载多模态高性能图像导航平台，可在术中实时融合4K荧光导 航、超声定位、术前CT/MRI等关键信息，通过多屏幕医生控制台清晰呈现，为外科医生提供强大的决策支持。 近日，思哲睿智能医疗迎来全球业务发展的重要里程碑。继在印度市场取得突破后，康多机器人®SR2000在厄瓜多 尔、印尼等国的订单正式进入批量交付阶段，标志着产品在全球范围内的商业化进程全面提速。装载着康多机器人 ®SR2000的包装箱正陆续发往世界各地，一场全球范围的微创手术变革悄然开启，这也是 康多机器人®SR2000 卓越 技术性能与临床应用能力获得全球市场认可的生动体现。 技术领先是开拓全球市场的基石 康多机器人 ® SR2000 能够迅速获得海外市场的青睐，源于其前瞻性的技术布局和历经验证的临 床实力。 多模态高性能图像导航平台， 国际市场高度认可 多科室认证助推临床普惠 目前，康多机器人® SR2000 的多科室临床应用已获得中国NMPA、印尼卫生部、厄瓜多尔卫生 部、白俄罗斯卫生部等全球多家监管机构的批准认证，能够胜任泌尿外科、普外科、妇科、胸 外科等诸多领域的复杂微创手术，为其在全球范围 ...

第二十五届中国国际工业博览会(CIIF2025)9月23日-27日在国家会展中心(上海)举办。兆易创新在展区 重点呈现MCU、存储、模拟芯片解决方案，聚焦具身智能设备；同时，兆易创新还同步亮相具身智能 产业发展论坛，兆易创新MCU事业部产品市场经理李孝剑带来主题为《人形机器人落地"芯"视角： MCU的适配与发展》的演讲。 编辑：宋杰 在芯片赋能机器人硬件的赛道上，兆易创新凭借多年技术积累，构建覆盖控制、存储及模拟的完整产品 矩阵，为人形机器人提供全栈式芯片支持。其中，GD32高性能MCU可用于多关节实时运动控制与系统 调度；旗下Flash为决策计算提供高速高可靠的数据存储保障；模拟芯片更覆盖传感器信号调理、电机 驱动、电源管理等关键环节，从感知、决策到执行全链路赋能机器人系统。 李孝剑认为，2025年被视为人形机器人迈向规模化量产的关键拐点，预计将带动高精度电机控制、多模 态传感与边缘计算芯片需求的显著增长。为应对这一趋势，兆易创新将重点布局伺服驱动实时控制、完 善的模拟产品组合、高性能存储产品等方向，为客户提供高性价比的一站式解决方案，助力人形机器人 实现核心技术突破与规模化应用。 从春晚舞台到世界机器人大 ...

Group 1 - The artificial intelligence (AI) industry is entering a critical phase where technological leaps and industrial implementation are deeply intertwined, with general AI moving from concept to practice, and embodied intelligence accelerating commercialization breakthroughs [1] - Key challenges for large-scale development include computational architecture bottlenecks, ecological collaboration barriers, and AI talent cultivation [1] - The AICC2025 AI Computing Conference in Beijing focused on topics such as general AI, open computing, and next-generation AI computing architecture innovation, providing insights for high-quality development in the AI industry [1] Group 2 - The "Zhongzhi FlagOS v1.5" has been officially launched, offering unified, open-source system software support for diverse AI chips, addressing challenges like AI computational ecological fragmentation and large model migration difficulties [2] - Baidu's CTO highlighted the evolution of AI technologies from rule-based methods to deep learning and large models, emphasizing the universality and comprehensiveness of large model capabilities as a beacon for general AI [2] - Innovations in AI computing architecture are being driven by hardware-software collaborative design and deep optimization, aiming to enhance efficiency and reduce costs in AI token generation [3] Group 3 - The Beijing Zhongguancun Academy is establishing a project-based talent cultivation system to meet the demand for exceptional AI leaders, promoting deep integration of AI with multiple disciplines [3] - The conference featured six thematic forums focusing on topics such as large models, scientific intelligence, embodied intelligence, intelligent driving, and low-altitude economy, facilitating in-depth discussions on the intersection of AI technology and industrial application [3][4] - A 3,000 square meter AI innovation technology exhibition showcased significant innovations and practical applications in the AI field, attracting over 50 companies and nearly 5,000 industry professionals [4]