Group 1 - The strategic cooperation meeting between Suzhou Industrial Park and Suzhou University resulted in the signing of several collaborative projects focused on emerging industries, leveraging university research teams and local industrial resources to tackle key technological challenges [1] - Key projects include the Jiangsu Provincial Key Laboratory of Language Computing and Applications, Suzhou University Jiangsu Provincial Excellent Engineer Academy, and Suzhou University Biomedical Innovation Research Institute, all aimed at addressing national strategic needs [1][2] - The Jiangsu Provincial Key Laboratory will focus on AI frontier technologies, particularly in speech and language processing, and aims to build a high-level talent pool and research platform to empower the real economy [1] Group 2 - The Jiangsu Provincial Excellent Engineer Academy will concentrate on cultivating high-quality, interdisciplinary engineers to meet national and local development needs, creating a high-level mentor database and collaborative education platforms [2] - The Biomedical Innovation Research Institute will integrate Suzhou University's medical technology strengths with the local biopharmaceutical industry to promote sustainable and high-quality development in the sector [2] - Collaborative projects span artificial intelligence, biomedicine, and new materials, including the establishment of an AI innovation center for middle school students and a technology innovation center in critical care medicine [2][3] Group 3 - In the materials sector, a photovoltaic innovation research institute will be established to focus on the industrialization of flexible photovoltaic technologies and core materials, promoting a collaborative evolution of talent, research, projects, and industry [3] - The Suzhou University Computer Science College will partner with Jiangsu Boyun Technology Co., Ltd. to create an AI engineering research institute, with a planned investment of 10 million yuan over five years to explore engineering applications of AI [3]

AI 驱动：零级智能体重构AI眼镜交互逻辑 近日，李未可科技于举办了2025年度新品发布会，正式推出三款AI智能眼镜及AI眼镜专属大模型"WAKE- AI任务式交流系统"，并重磅发布"零级智能体ZeroAgent"，标志着智能眼镜赛道正式迈入群体智能时代。 作为发布会的核心亮点，除了连续发布的三款AI眼镜外，李未可科技打造的"零级智能体ZeroAgent"首次亮 相即引发关注。该智能体基于李未可自研的WAKE-AI大模型打造，通过多智能体协同的"群体智能"模式， 实现任务分发与动态决策。例如，用户询问星座运势时，ZeroAgent自动调用"星运师智能体"解答；旅游规 划则由"旅行助手智能体"完成。这种"去中心化"的交互方式，打破了传统硬件依赖单一AI功能的局限，以 实现更精准、自然的交互。 李未可科技创始人兼CEO茹忆强调："AI眼镜，AI在前硬件在后，AI技术必须成为用户需求的第一响应 者，而非硬件的附属品。"ZeroAgent不仅支持180种语言实时翻译（覆盖专业术语超3000条，产品已上线 128种），还在嘈杂环境中保持90%的识别准确率，尤其在"一带一路"沿线小语种场景下表现突出。其核心 技术突破包括 ...

Core Insights - Embodied intelligence has gained significant attention in both industry and academia, particularly in humanoid robots, which integrate perception, movement, and decision-making capabilities [1][4][30] - The development of embodied intelligence is seen as a pathway towards achieving general robotics, with ongoing discussions about the challenges and milestones that lie ahead [1][30] Group 1: Current State and Future Prospects - The industry anticipates that 2025 may mark the "year of embodied intelligence," with significant competition emerging in the multimodal and embodied intelligence sectors [3][4] - NVIDIA's CEO Jensen Huang has proclaimed that the era of general robotics has begun, outlining four stages of AI development, culminating in "physical AI," which focuses on understanding and interacting with the physical world [3][4] - Experts believe that while progress has been made, the journey towards true general robotics is still in its early stages, with many technical and conceptual hurdles remaining [31][32] Group 2: Technical Challenges and Opportunities - The current landscape of embodied intelligence is characterized by a lack of comprehensive models and algorithms, with many systems still not achieving convergence [32][33] - Key technical challenges include the integration of sensory feedback, the development of robust algorithms, and the need for advanced perception capabilities, such as tactile sensing [33][34] - The industry is witnessing a shift where many researchers from the autonomous driving sector are transitioning to embodied intelligence, leveraging their expertise in perception and interaction [15][19] Group 3: Application Scenarios - Potential application areas for embodied intelligence include home care, household services, and industrial automation, which are seen as practical and immediate needs [41] - The focus on specific vertical applications rather than general-purpose robots is emphasized, as the technology is still maturing and requires targeted development to meet real-world demands [36][41] - The integration of embodied intelligence into existing industrial systems is viewed as a promising avenue for scalability and broader adoption [39]

Core Viewpoint - Shandong Province is investing 1 billion RMB to support the development of artificial intelligence (AI) through various policies and initiatives, extending support until the end of 2026 [1][3]. Group 1: Financial Support and Policies - The Shandong Provincial Development and Reform Commission announced a total of 1 billion RMB to support key AI clusters, platforms, enterprises, and projects [1]. - The support includes innovative policies such as "computing power vouchers," "model vouchers," "corpus vouchers," and "data sets" to strengthen AI development [1][4]. - A comprehensive "policy package" consisting of 28 measures and 45 specific policies has been introduced to support the entire AI industry chain [3]. Group 2: Research and Development Initiatives - Shandong plans to invest in over 150 basic research projects annually, focusing on cutting-edge theories such as multimodal intelligence and embodied intelligence [4]. - The province aims to enhance its capabilities in core technologies by supporting the construction of key innovation platforms and promoting the application of technological achievements [4][5]. Group 3: Infrastructure and Resource Allocation - The policies emphasize increasing the supply of essential elements for AI, including computing power, data, and models [4]. - Shandong will implement a "computing power voucher" subsidy based on a percentage of the amount spent on purchasing computing power, and will select 10 high-quality corpora annually for "corpus vouchers" [4][5]. - The province plans to select 30 large model products each year for "model vouchers" to accelerate the development of high-performance large models [5]. Group 4: Future Development Goals - By 2027, Shandong aims to establish around 30 provincial key laboratories and 20 provincial technology innovation centers in critical areas such as key chips and large models [5]. - The province intends to gather over 240 provincial-level scientific talents and incubate more than 50 technology-based enterprises to drive significant innovations in the AI sector [5].

Group 1 - The core viewpoint of the report highlights the commercialization progress of humanoid robots driven by technological upgrades and product iterations, exemplified by the launch of exoskeleton robots in the Taishan scenic area and the signing of a small-scale humanoid robot procurement contract by UBTECH [1][3][4] Group 2 - The Taishan scenic area has introduced exoskeleton robots for visitors, allowing them to rent the device for 80 yuan for three hours, which assists in walking and monitors health conditions, featuring emergency call and tour guide functions [3] - The exoskeleton robot weighs 1.2 kg, made of carbon fiber, can withstand a pulling force of 200 kg, and has an 8-hour battery life, saving users 30% to 50% of their physical effort [3] - UBTECH has signed a global first small-scale procurement contract for humanoid robots, involving the Walker S1 and Walker C models, aimed at applications in automotive manufacturing and commercial reception [3] - The contract signifies a substantial step towards the commercialization of humanoid robots in industrial manufacturing scenarios [3] - Apple has restructured its robotics team, moving it under the hardware engineering division, which may enhance the integration of hardware and software in robot development [4]

Core Viewpoint - Shandong Province has introduced a comprehensive plan and policy measures to accelerate the development of artificial intelligence (AI) across key sectors, with a financial commitment of approximately 1 billion yuan by 2025 to support innovation and application in AI [1][4]. Group 1: Key Areas of Focus - The initiative targets 13 key areas across three main aspects: industrial development, consumer life, and government services, aiming to leverage AI for high-quality growth [2][3]. - In industrial development, six sectors have been prioritized: chemical, aluminum, steel, mining, high-end equipment, and biomedicine, which are considered Shandong's pillar industries with significant potential for AI application [2]. - For consumer life, four sectors have been selected: home, travel, healthcare, and cultural tourism, with a focus on enhancing quality of life through AI technologies [3]. - In government services, three areas are emphasized: digital governance, social management, and public safety, aiming to improve service efficiency and accessibility through AI [3]. Group 2: Financial and Policy Support - The policy measures include 28 specific initiatives with a total funding of 1 billion yuan, aimed at supporting key clusters, platforms, enterprises, and projects in the AI sector [4][5]. - The financial support will be extended until the end of next year, with the establishment of an AI industry fund to further bolster development efforts [4]. - Innovative support mechanisms such as "computing power vouchers," "model vouchers," and "data set vouchers" are introduced to stimulate AI innovation and application [4][6]. Group 3: Innovation and Development Goals - By 2027, the plan aims to cultivate 20 foundational AI models for service industries, create over 50 replicable application scenarios, and launch more than 100 exemplary cases [3][4]. - The initiative seeks to achieve breakthroughs in intelligent development across key industries, significantly enhancing productivity and safety levels [3][4]. - The focus on collaborative efforts aims to optimize the industrial ecosystem, supporting the growth of specialized enterprises and promoting cooperation across the AI value chain [7][8].

Core Viewpoint - The article discusses the advancements and applications of humanoid robots, particularly the Walker S series from UBTECH, in industrial settings, highlighting their potential to enhance efficiency and productivity in manufacturing processes [1][12]. Group 1: Development and Training of Humanoid Robots - The Walker S1 humanoid robot has been integrated into various factories, including Geely's 5G smart factory, with over 500 units of intent orders received [1]. - The evolution of humanoid robots from performing basic tasks to more complex operations is emphasized, with the Walker S1 showing a 25% increase in material handling speed compared to its predecessor [4][11]. - The robots are designed to perform quality inspections with over 99% accuracy using advanced imaging and deep learning technologies [4][11]. Group 2: Technological Advancements - The Walker S series has transitioned from single-unit training to collaborative operations, showcasing the ability to work in groups and execute complex tasks [6][9]. - The implementation of a "big brain" and "small brain" system allows for enhanced decision-making and task execution, enabling robots to adapt to real-time environments [10]. - The robots are capable of learning skills once and sharing them across multiple units, which streamlines the training process [10]. Group 3: Future Prospects and Industry Impact - The Walker S1 has demonstrated significant improvements in various factories, with plans for large-scale delivery in the near future [11]. - UBTECH is developing the next generation, Walker S2, which will feature autonomous charging and increased operational efficiency [12]. - The article highlights the potential for humanoid robots to serve as intelligent assistants rather than replacements for human workers, promoting collaboration in manufacturing [12].

此次发布会上，华为、腾讯、深开鸿、美的库卡、广汽等9家企业发布了前沿成果。其中，深开鸿 发布基于开源鸿蒙的多机协同机器人统一操作系统——M-Robots OS1.0，可让多种机器人实现协同、兼 容。深开鸿CEO王成录称，机器人产业将从"单体智能"走向"群体智能"。未来，机器人产业和万物互联 的操作系统显然不可能是通过一两家企业就能做好，需要大家共建共享开源生态。 广汽第三代具身人形机器人GoMate在会上发布。广汽机器人团队负责人张爱民表示，GoMate计划 在2026年实现小批量生产，2027年逐步扩展至大规模量产。 乐聚机器人合伙人杨金介绍称，今年1月，该公司完成第100台全尺寸人形机器人的交付。目前人形 机器人在搬运等作业场景中还没达到与人一样的效率，但核心技术迭代速度很快，相信不远的将来人形 机器人有望实现与人一样的效率。 中新社广州4月9日电 (记者程景伟)记者9日从广东省人工智能与机器人产业创新产品与服务新闻发 布会上获悉，广东智能机器人产业主要布局于珠三角地区，并初步建立涵盖"大脑—五官—肢体"的智能 机器人全产业链。 据统计，2024年广东工业机器人产量超24万台(套)，同比增长31.2%，连 ...

Core Viewpoint - The company, UBTECH, reported a total revenue of 1.305 billion yuan for 2024, marking a year-on-year increase of 23.7%, but continues to face significant losses, with a net loss of 1.16 billion yuan, although this represents a narrowing of 8.3% compared to the previous year [1][2] Revenue Breakdown - The revenue from educational robots and intelligent robot solutions was 363 million yuan, up 4.6% year-on-year [3] - Revenue from logistics intelligent robots and solutions decreased by 17.5% to 322 million yuan due to incomplete project deliveries [3] - Custom intelligent robots and solutions saw a significant increase of 126.1%, reaching 141 million yuan, attributed to new application scenarios and increased sales of humanoid robots [3] - Consumer-grade robot products generated 477 million yuan, an increase of 88.1%, driven by the launch of new consumer products [3] Market Performance - Domestic revenue was 877 million yuan, a 6.4% increase, while overseas revenue surged by 85.5% to 428 million yuan, accounting for 32.8% of total revenue [4] - The company’s overseas sales primarily consist of consumer-grade robots, including pet robots and lawn mowers [4] Profitability and Cost Structure - The gross profit margin decreased to 28.7%, down 2.8 percentage points from the previous year, primarily due to a shift in product mix towards lower-margin consumer-grade robots [5] - Operating costs rose from 611 million yuan in 2022 to 723 million yuan in 2023, with sales expenses increasing significantly from 373 million yuan to 506 million yuan, raising the sales expense ratio from 37.0% to 47.9% [5] Humanoid Robot Development - The company delivered only 10 humanoid robots in 2024, but remains committed to advancing this segment, with expectations for significant order deliveries by 2025 [6][12] - Collaborations with major automotive companies are in place, with plans for substantial deployments of humanoid robots in manufacturing settings [6] Executive Actions - Company executives initiated a stock buyback plan, indicating confidence in the humanoid robot sector and aiming to bolster investor sentiment [8][9] - The increase in accounts receivable and bad debt provisions raises concerns about cash flow and potential risks if humanoid robots do not perform as expected [11][12] Industry Context - The challenges faced by another unicorn in the humanoid robot sector, Dahua Robotics, highlight the financial pressures within the industry, emphasizing the need for UBTECH to navigate its growth and profitability carefully [12]

允中 发自 凹非寺 量子位 | 公众号 QbitAI 3月29日，智源研究院在2025中关村论坛"未来人工智能先锋论坛"上发布首个跨本体具身大小脑协作框架RoboOS与开源具身大脑 RoboBrain，可实现跨场景多任务轻量化快速部署与跨本体协作， 推动单机智能迈向群体智能 ，为构建具身智能开源统一生态加速场景应用 提供底层技术支持。 具身智能操作框架RoboOS+具身大脑RoboBrain.mp4 △ 基于RoboOS及RoboBrain的多机器人跨本体协作递送任务Demo 增强长程操作任务能力，打造感知-认知-决策-行动闭环 在具身场景中，长程操作任务是机器人执行复杂任务的核心能力之一。具身大脑RoboBrain融合了 机器人任务规划、可操作区域感知、轨迹 预测 的三维能力，通过将抽象指令映射为具象动作序列，增强长程操作任务的能力。 RoboBrain由三个模块组成：用于任务规划的 基座模型 、用于可操作区域感知的 A-LoRA模块 和用于轨迹预测的 T-LoRA模块 。在推理 时，模型首先感知视觉输入，并将输入指令分解为一系列可执行的子任务，然后执行可操作区域感知和轨迹预测。RoboBrain采用多阶段 ...