Core Insights - The company "Star Motion Era" has completed nearly 500 million RMB in Series A financing, led by Dinghui VGC and Haier Capital, with participation from other investors, to enhance humanoid robot technology development and mass production [2] - The humanoid intelligence sector is experiencing a financing boom, with significant investments in companies like Yushut Technology and Galaxy General, indicating a rapid growth phase in the industry [2][5] - Star Motion Era has established partnerships with 9 of the top 10 global tech giants and has delivered over 200 products this year, with more than 50% of orders coming from overseas [3][4] Company Developments - Star Motion Era has made significant progress in technology research and commercialization, completing a business layout from "research - industry - service" [3] - The company is focusing on high-value scenarios in large-scale industries, collaborating with partners like Beizhi Technology and Haier to enhance logistics and retail service experiences [3] - The development of the VLA model ERA-42 allows robots to perform complex operations through voice commands, showcasing advancements in both model and hardware capabilities [4] Industry Trends - The humanoid intelligence sector is entering a high-growth phase, with increased capital inflow and rising valuations for leading companies [5] - Despite the capital enthusiasm, the industry faces challenges such as environmental perception, hardware stability, and data accumulation, which are critical for large-scale commercialization [6][7] - The industry is at a pivotal moment, transitioning from "technology validation" to "commercial validation," requiring deep integration of algorithms, hardware, data, and scenarios [7]

最近有同学后台留言，马上秋招了，没时间自己准备了。去哪里找寻题目、面经、和各家面试题 目？各个岗位是啥情况？都有哪些面试流程？各家岗位的级别是怎么划分的？对于刚求职的小 白，这些非常重要，关乎后面3-5年的职业发展与成长。 每年到这个时候，我们都有收到类似的问题，而我们早已经为大家准备好了。做了3年多的技术自 媒体，我们一直想给大家这样一个平台，让需要就业的同学能够快速匹配到自己的岗位，事半功 倍！近半年的筹划，我们推出了AutoRobo知识星球，一个覆盖机器人、自动驾驶、具身智能方向 的求职社区！这也是国内首个以自动驾驶和具身为主要方向的社区。 AutoRobo知识星球 这是一个给自动驾驶、具身智能、机器人方向同学求职交流的地方，目前近1000名成员了，成员 范围包含已经工作的社招同学，如地平线、理想汽车、华为、小米汽车、momenta、元戎启行等公 司。同时也包含2024年秋招、2025年秋招的小伙伴，方向涉及自动驾驶与具身智能绝大领域。 星球内部有哪些内容？这一点结合我们已有的优势，给大家汇总了面试题目、面经、行业研报、 谈薪技巧、还有各类内推公司、简历优化建议服务。 招聘信息 星球内部日常为大家分享已 ...

在杭州，像王鑫这样的科技创业者有很多。他们技术不错，但在转化阶段却面临着招聘难、看不懂 政策、需要各类应用场景训练大模型等问题。如今，他们都拥有了科技成果转化专属"助跑团"和"服务 包"。 日前，杭州市"双十平台""助跑计划"动员会举行。会上，市科技局有关负责人对该计划进行了详细 解读。 如何给空中作业的无人机装上了会思考的"大脑"？来自天目山实验室的王鑫团队解决了这个难题， 研发了目前全球唯一可落地的无人机具身智能产品。这项科技创新来自团队的硬实力，也得益于杭州科 创平台提供的专业服务。 "双十平台"是指之江实验室、良渚实验室等高能级省实验室和省技术创新中心。这些科创平台中， 蕴藏着改变产业格局的"金种子"。 科技成果转化绝非从实验室到市场的简单跳跃。如何让科技创新"种子"在杭州生根发芽，转化为新 质生产力？这正是杭州推行"助跑计划"的核心目标。 "助跑计划"将围绕科技成果的孵化、发掘、培育、对接、落地全过程。力争通过3年努力，实现"双 十平台"引进省级以上领军人才等高层次人才100人，催生高价值发明专利1000项，落地杭州转化科技成 果100项。 同时，市科技局会同市投资促进局牵头构建了"1+3+N"的" ...

华人团队。 作者 I 王露 报道 I 投资界PEdaily 一笔超级种子轮浮出水面。 投资界获悉，具身智能初创公司Ge ne sis AI宣布完成1.05亿美元种子轮融资（约合人民 币7.5亿元），创下硅谷具身智能行业种子轮最大融资额纪录。 成立半年，创始人团队浮出水面——刚刚博士毕业的90后周衔，联手一众年轻学者，闯 入这个最火赛道。 回到国内，具身智能领域也正掀起一轮又一轮的超级融资。 大牛集结，他们联手创业 正在招人 许臻佳，2 024年从哥伦比亚大学/斯坦福大学博士毕业，师从斯隆研究奖得主宋舒然。此 前任英伟达GEAR团队真机系统负责人。 王尊玄，今年博士毕业于麻省理工学院，师从MIT人工智能实验室主任Da ni e l a Rus。此 前任Li qui d AI大模型研究科学家。 创始人兼CEO周衔是位名副其实的学霸，出生于1 9 9 4年。18岁那年，他考入新加坡南洋 理工大学机械工程系，并以最高荣誉毕业。2017年，周衔进入卡内基梅隆大学攻读机器 人博士学位，师从Ka t e ri n a Fr a gki a da ki教授。 Ge ne sis AI 的 诞 生 要 从 2 0 22 年 说 ...

Core Insights - The embodied intelligence sector is experiencing unprecedented investment and interest, with discussions on whether there is a bubble and which applications will mature first [1][3] Investment Landscape - The current investment scale in embodied intelligence is significantly lower than that in the smart automotive sector, indicating potential for growth once scalable commercial applications are identified [3][4] - Companies believe that more capital is needed to bridge the financing gap between domestic and international players, with domestic leading companies operating at a scale of tens of billions of RMB compared to tens of billions of USD for their US counterparts [3][4] Market Applications - B-end applications are seen as the most suitable for initial deployment, particularly in areas like logistics, quality inspection, and manufacturing processes [6][7] - The industry is exploring various strategies, including the replacement of human labor in hard-to-fill positions, with a gradual expansion into more complex scenarios over the next few years [6][7] Technological Development - The VLA (Vision, Language, Action) model is considered a key framework for the future of robotics, with ongoing improvements in data collection and model training methodologies [7][8] - The industry is moving towards a unified model paradigm, emphasizing the importance of integrating visual, linguistic, and action capabilities in robotic systems [8] Competitive Landscape - The embodied intelligence sector is expected to evolve similarly to the smartphone and automotive industries, with a diverse range of players including hardware manufacturers and AI developers [9][10] - The market is anticipated to consolidate into a limited number of major players, with a focus on maintaining technological barriers and establishing closed-loop commercial applications [10][11]

Core Viewpoint - The article discusses the importance of choosing relevant majors in the context of the booming AI and robotics industries, highlighting the advice from Wang Xingxing, founder of Yushu Technology, on filling out college applications based on personal interests and industry trends [1]. Group 1: Industry Trends - The AI and robotics sectors are experiencing significant innovation and market growth, prompting a reevaluation of educational paths for students [1]. - There is a growing emphasis on "new engineering" disciplines, suggesting a shift in focus from traditional liberal arts to more technical fields [1]. Group 2: Educational Recommendations - Wang Xingxing recommends students who enjoy hands-on activities, such as disassembling and repairing electronic products, to consider majors in mechanical or electronic engineering [1]. - The article raises questions about the relevance of liberal arts majors in the current job market, indicating a potential decline in their attractiveness compared to technical fields [1].

2025.06. 25 根据智联招聘发布数据，低空经济、具身智能、智能制造、芯片领域等新兴和未来产业的职位招聘增 速较高，无人机工程师、机器人调试工程师、算法工程师、机械工程师、半导体工艺工程师、半导体 设备工程师等职业的招聘职位数同比增速均在30%以上。 低空经济、商业航天等硬科技产业链条长、分工精细，报考相关专业需要厘清产业链条，考虑自身兴 趣与产业链中各环节的匹配度。以低空经济为例，eVTOL (electric Vertical Take-off and Landing, 电动垂直起降航空器)只是其中的一个细分领域。 "整条产业链可划分为上游、中游和下游，每个领域有不同的侧重。"天际线eVTOL创始人罗科迪所 说的"上游"，指的是包括研发设计、基础原材料、核心组件与零部件生产等环节所在的行业。他所在 的主机厂商一般被视作为行业中游，而下游则偏应用，通常是一些运营服务商和飞行保障商。罗科迪 建议，如果是对技术方向感兴趣，可以报考航空类的专业，如果想要涉及一些商业相关的领域，也可 以考虑工商管理、市场等方面的专业。 他向记者指出，不同环节对人才的需求存在差异。"整个行业既需要纯技术人才，也需要技术与商业 ...

Core Viewpoint - The A-share market is expected to show a fluctuating upward trend in the second half of 2025, driven by strong domestic economic resilience and relatively low asset valuations, with investment opportunities identified in dividend assets, technological innovation, and consumer sectors [1][2][4][15]. Investment Strategy - Multiple brokerages suggest focusing on three main investment directions for the second half of 2025: dividend assets, technology innovation themes, and large consumer sectors [1][15]. Dividend Assets - Dividend assets include high-dividend financial sectors such as insurance and banking, as well as shipping ports, communication services, and electricity sectors. These assets are attractive due to low valuations and stable dividend returns, particularly in a low-interest-rate environment [16]. - The focus should be on quality cash flow, volatility, and dividend certainty rather than solely on dividend yield, with recommendations for sectors like consumer leaders, public utilities, telecommunications, and banking [16]. Technology Innovation - Key areas of focus include AI computing, AI applications, and embodied intelligence. The first phase of AI market growth is centered around infrastructure, while the second phase will focus on application layers [17]. - AI Agents, which integrate various capabilities, are expected to drive demand for computing power and cloud services, while humanoid robots and advancements in core components are also significant [17]. Large Consumer Sectors - The large consumer sector is highlighted, with particular interest in domestic beauty brands, pet economy, and IP economy. Emerging consumption trends in beauty, pet products, and innovative pharmaceuticals are recommended for investment [18][19].

Core Insights - ECX has formed a new market expansion in the smart technology sector, collaborating with a leading global tech company for the production of solid-state 3D LiDAR products, aiming for global mass production by 2026 in the burgeoning embodied intelligence industry [1][5] - Embodied intelligence, a frontier field combining AI and robotics, emphasizes dynamic interaction between intelligent agents and their environment, leading to autonomous learning and evolution [1] - LiDAR technology is crucial for embodied intelligence, providing high-precision environmental perception essential for autonomous navigation, object manipulation, and human-robot collaboration [1] Company Overview - ECX, founded in 2017 and listed on NASDAQ in 2022, operates 12 global centers across China, the UK, the US, Sweden, Germany, and Malaysia [6] - The company was co-founded by Eric Li, founder of Geely, and CEO Shen Ziyu, and serves numerous global automotive brands, including Volkswagen Group, FAW, and Volvo Cars, with over 8.7 million vehicles equipped with its technology [6] Product Development - The self-developed short-range solid-state LiDAR by ECX operates at a wavelength of 905nm, featuring a solid-state design with no mechanical parts, ensuring stability and reliability [3] - The LiDAR has a detection range of up to 60 meters and utilizes a custom high-resolution SPAD sensor for clear imaging, significantly enhancing robots' environmental perception capabilities [3] - The company plans to increase R&D investment to improve LiDAR performance and expand applications in automotive intelligence and embodied intelligence [3][5]

Group 1 - The "hard technology" industries, represented by low-altitude economy, commercial aerospace, and embodied intelligence, are rapidly emerging, attracting significant attention from students and parents regarding relevant majors and job opportunities [1][2] - The demand for high-level talent in these new industries is significantly increasing, with job recruitment growth rates in fields such as low-altitude economy, embodied intelligence, and smart manufacturing exceeding 30% year-on-year for positions like drone engineers and algorithm engineers [1][2] Group 2 - The low-altitude economy can be divided into upstream, midstream, and downstream sectors, each requiring different skill sets and educational backgrounds, with a focus on both technical and business-oriented talent [2][3] - The Ministry of Education has introduced new undergraduate programs, including Low Altitude Technology and Engineering, to meet the growing demand for skilled professionals in these emerging fields [2] Group 3 - In the commercial aerospace sector, companies have stringent hiring standards, often requiring master's degrees and favoring graduates from specific institutions known for their strength in aerospace and military engineering [3][4] - The commercial aerospace industry is projected to see over 110,000 new companies by 2024, with satellite design and manufacturing engineers earning an average annual salary of 287,000 yuan, and chief engineers in liquid rocket engines earning a median salary of 820,000 yuan [4][7] Group 4 - Different roles within the aerospace sector have varying preferences for educational backgrounds, with specific majors being favored for roles in rocket design, satellite navigation, and manufacturing processes [7][8] - Practical experience and comprehensive skills are emphasized as critical for success in the hard technology fields, with recommendations for students to engage in hands-on projects during their studies [7][8]