你可以不必担心疾病与衰老，先进的基因药物将守护你的青春与活力 智能的AI助理会解放你的双手，为你处理生活中的一切琐碎 无需跨出家门，就能畅游世界各个未知角落，深入体验不同文化背景下的生活与思维 科技的脉搏让曾经的科幻情节变为了现实 想邀请你加入我们的Z Explorer计划，一起去探索更多的未知，去发掘更多的可能。 在这里： 联合发起方（持续扩招中） 在你的想象中，未来的世界应该是什么样的？ Z Explorer正是在这样理念的启发下，通过对接全球顶尖高校的年轻人，培训Z Explorer的专业技 能、科技敏锐度，以及独到的商业洞察，帮助他们成为未来领袖——新时代的潜在力量。 成为Z Explorer ，能获得什么？ 今天开始，Z Explorer正式开启招募。 我们是谁 我们是新一代年轻人的科技和商业内容媒体，内容覆盖人工智能、智能硬件、机器人、IT基础设施、 半导体、金融科技、企业服务等技术产业。 Z Explorer联合发起方拥有多位专业人士，核心成员来自清华大学、北京大学、浙江大学、牛津大 学、UCL、爱丁堡大学、香港科技大学等海内外知名高校以及一线投资机构、科技大厂、顶级 咨询 公司 等知名机构。 ...

Core Viewpoint - The article discusses the recent financing round of "LeXiang Intelligent," a company founded by Guo Renjie, the former China President of Duyin Technology, focusing on embodied intelligent robots. The company has reportedly completed a new financing round, although it has not been officially announced yet [1]. Financing History - LeXiang Intelligent completed its angel round financing on January 16, 2025, raising 200 million yuan with a post-investment valuation of 600 million yuan. Key investors included IDG Capital and Zhen Partners [2]. - The company has attracted significant capital interest since its inception, completing nearly 200 million yuan in angel financing within a month of its establishment [3]. Company Background - LeXiang Intelligent was established on December 19, 2024, and is led by Guo Renjie, who has a strong background in brand management and marketing within the tech industry. The company aims to develop consumer-grade robots, likely focusing on companion robots [3][6]. - The team consists of nine members, including veterans from major tech companies, indicating a strong foundation for product development [6]. Market Context - The article highlights the growing interest in the consumer-grade robot market, particularly in companion robots, which are expected to be the first to penetrate the consumer market effectively [6]. - Despite the influx of capital and interest, the article notes that there are currently no mature consumer-grade robots available globally, with many products still in the early stages of development [7]. Competitive Landscape - Other companies in the embodied intelligent robot space, such as "Lu Ming Robotics" and "Mondo Tech," are also mentioned, indicating a competitive environment with multiple startups receiving significant funding [8][10]. - The article emphasizes the challenges faced by humanoid robot companies in achieving mass production and effective market application, despite many having announced product deliveries [14].

Core Viewpoint - The establishment of the world's first "Humanoid Robot Intelligence Grading" standard (T/CIE 298-2025) aims to enhance the evaluation framework for humanoid robots, transitioning the industry from a "function-oriented" approach to "intelligent evolution" [1][2][6]. Group 1: Standard Development - The new standard was developed by leading organizations including the Beijing Humanoid Robot Innovation Center and various enterprises and research institutions, addressing the lack of evaluation standards in the humanoid robot industry [1][2]. - The standard introduces a "four-dimensional five-level" evaluation framework, creating a grading system from L1 to L5 for intelligent capabilities [2][3]. Group 2: Evaluation Framework - The evaluation framework consists of four core capability dimensions: Perception and Cognition (P), Decision Learning (D), Execution Performance (E), and Collaboration Interaction (C) [2][3]. - The standard provides 22 primary indicators and over 100 technical clauses, along with a common safety baseline and typical application scenarios, serving as a reference for product design and performance benchmarking [3]. Group 3: Capability Descriptions - Perception and Cognition: Humanoid robots should acquire, process, and understand environmental and self-state information, enabling reasoning and knowledge application [3][4]. - Decision Learning: Robots must utilize methods like large models and reinforcement learning to achieve precise perception, logical reasoning, and dynamic decision-making [4]. - Execution Performance: Robots should support precise control of joint movements and complex task execution, including mobility and dynamic balance [4]. - Collaboration Interaction: Robots must communicate and collaborate safely and efficiently with humans and other intelligent agents [5]. Group 4: Future Implications - The implementation of the grading standard is expected to facilitate the transition from "demonstrative intelligence" to "general intelligence" in humanoid robots, enabling large-scale applications across various sectors such as special operations, logistics, industrial manufacturing, education, and healthcare [6][8]. - The standard aims to provide a unified technical language and evaluation tools for the industry, promoting market order and guiding technological development [6][8].

周度研究聚焦：泳池清洁机器人加速放量，蓝海市场未来可期 泳池清洁机器人是一种自动化的泳池清洁设备，能在泳池中自动行走以清理池水、池壁、池底的沙尘、杂质和 污垢等。泳池清洁机器人最大优势在于其能实现水下自主清理功能，其构造包括结构件、传动件、控制件与清 洁件，通过多传感器融合算法实现水下智能定向移动，通过电机、水泵与清洁滚刷等部件的配合实现池水与池 底池壁的清洁功能。 全球泳池数量持续增长，泳池机器人需求量大。 据嘉程资本统计，2021年全球有2888万个泳池，每年呈持续 增长态势。据嘉程资本预测，到2026年，会增至3692万个泳池，2021-2026年复合增速在5%。主要集中在欧 美市场，尤其以美国为主。美国泳池数量在2021年就已达到1060万个，到2022年增至1900多万个，包含了私 家泳池和公共泳池，其中私家泳池占比70%以上。我们认为随着全球泳池数量的持续增长，泳池机器人的需求 量也相应释放，其市场足够庞大。 全球泳池数量持续增长，泳池机器人需求量大。泳池机器人加速渗透，已经从最开始 的导入期进入快速放量的成长期。 行业竞争格局集中，缺乏创新，为中国品牌后来居上创造良好条件，近年来取得了突 破式增 ...

章鱼，凭借其高效的神经肌肉层级结构，实现了对复杂且灵巧肢体的精准操控。 这一结构整合了富含传感器 的吸盘、臂内具身计算以及集中式高级推理功能，是面临机械自由度高、通信通道需求大等挑战的软体机器人 设计的重要灵感来源。 受章鱼层级智能启发，此前已有研究人员尝试在软体机器人系统中模拟这种生物特性。相关研究主要采用分层 架构设计，通过整合基础吸盘、软体计算元件和执行器，将感知、决策和执行功能下放至机器人末端。然而， 现有方案在实现完整功能集成方面仍存在明显局限。特别是在同时实现吸力粘附、具身智能和多模态感知的层 次化系统构建方面，目前尚未取得突破性进展。 ▍ 受 章鱼层级智能启发，开发新型 流体驱动 软体机器人系统 针对上述问题， 来自英国布里斯托尔布里斯托尔机器人实验室和南方科技大学的研究人员前不久进行了深入 研究，并从章鱼的层级智能中获取灵感，开发了一种新型流体驱动（气动或液压）软体机器人系统。 该系统 借鉴了章鱼神经肌肉系统的一层级结构设计思路，由中央大脑负责高级感知和决策功能，嵌入式 STS（人工 神经节）处理低级信号和控制指令。吸盘、压力传感器、STS 和驱动泵则分别对应章鱼的吸盘、SR、神经节 和肌肉。 ...

Core Viewpoint - Ruisheng Technology (688090.SH) plans to establish a joint venture in Malaysia to provide solutions in robotics, machine vision, industrial software, flexible automation, digitalization, and intelligent manufacturing systems for Southeast Asian clients [1] Group 1: Joint Venture Details - The joint venture will be formed with Malaysian individual Ye Cheng, with a registered capital of 3 million Malaysian Ringgit, where Guangzhou Ruibei will contribute 2.4 million Malaysian Ringgit, holding an 80% stake [1] - The investment aims to enhance the company's global strategic layout, accelerate overseas business development, and strengthen cooperation with international clients [1] Group 2: Approval and Risks - The investment decision falls within the company's board approval authority and does not require shareholder meeting review, but it is subject to approval or filing with relevant government departments [1] - Potential risks associated with the investment include changes in financial and operational environments, as well as the approval process [1]

Group 1: NVIDIA's Developments in Robotics - NVIDIA announced updates to spur humanoid robot development, including new models for reasoning, motion, and skills, contributing to a potential "next industrial revolution" in physical AI and robotics [1] - Investors are focusing on other firms in robotics as NVIDIA makes advancements in this technology [2] Group 2: Serve Robotics Overview - Serve Robotics specializes in self-driving delivery robots, partnering with Uber to tackle the "last-mile" delivery challenge [4] - The company is scaling up operations, deploying 250 new robots and aiming for a fleet of 2,000 by the end of 2025 [5] - Serve has increased daily supply hours by 40% and delivery volume by over 75% in the latest quarter, while also doubling its household reach since December [6] - Revenue for the latest quarter was $440,000, marking a 150% sequential improvement, with expectations for second-quarter revenue growth of 35% to 60% [7] - Despite significant net losses, Serve ended the first quarter with $198 million in cash, providing room for operational expansion [8] - All five analysts rating SERV shares have given them a Buy rating, with a consensus price target of $19.50 [9] Group 3: Richtech Robotics Overview - Richtech Robotics focuses on automating the service industry, including delivery and cleaning applications [10] - The company is transitioning to a robots-as-a-service (RaaS) model, targeting a market size of approximately $230 billion, with a goal to increase customer installations by 150% by 2026 [11] - Richtech reported $4.4 million in revenue and $6.5 million in secured RaaS contracts, with nearly $32 million in cash reserves [12] - The latest earnings report showed wider net losses and missed earnings forecasts, indicating higher investment risk compared to Serve [12] - Despite challenges, Richtech has received Buy ratings from analysts, with an upside potential of about 39% [13]

Group 1 - The commercialization of humanoid robots has begun, with significant future market potential as they mimic human appearance and behavior, having reached a third stage of development with initial intelligence and human-machine interaction capabilities [1] - Tesla's humanoid robot, Optimus, was officially launched in October 2022, standing 1.72m tall, weighing 57kg, capable of carrying 20kg, with a maximum speed of 8km/h, featuring 28 degrees of freedom and a bionic joint design [1] - The components of humanoid robots are more diverse and costly compared to industrial robots, including powertrain systems, battery systems, and electric drive systems, with a high value contribution from powertrain and intelligent sensing components [1] Group 2 - The demand for hollow cup motors is expected to surge due to their application in robotic "dexterous hands," providing efficiency and power density without compromising battery life and performance [2] - The Chinese smart sensor market is projected to grow from 73.89 billion yuan in 2019 to 133.62 billion yuan in 2023, with a compound annual growth rate of 15.96%, and is expected to reach approximately 155.12 billion yuan in 2024 [2] - The domestic sensor industry in China is fragmented with limited core chip supply capabilities, although the share of domestic smart sensors has been gradually increasing, leading to the emergence of competitive smart sensor companies [2]

Company - Black Sesame Intelligence is a leading Chinese company in autonomous driving computing and AI chip production, with advantages in self-developed core IP, high-performance architecture, and automotive-grade chip mass production capabilities [2] - The company has developed two self-researched automotive-grade IPs: NeuralIQ ISP image processor and DynamAI NN neural network accelerator, creating a high-efficiency, low-power chip platform supported by a complete algorithm and toolchain [2] - Black Sesame has a product range covering computing power from tens of TOPS to thousands of TOPS, supporting applications in intelligent driving, integrated cockpit, and robotics [2] - The company is expected to accelerate chip shipment growth in 2025, with mass production solutions for multiple models from major manufacturers like Geely, FAW, and Dongfeng [2] - The company anticipates revenue growth of 76.8%, 69.3%, and 44.0% for 2025, 2026, and 2027, respectively, with projected revenues of 840 million, 1.42 billion, and 2.04 billion yuan [2] - The gross margin is expected to improve to 45.8%, 47.0%, and 47.7% for 2025, 2026, and 2027, respectively [2] - The target price is set at 24.04 HKD, based on a 16.8 times 2025 P/S ratio, with a "buy" rating [1][2] Industry - The global autonomous driving and robotics industry is entering a rapid development phase, with advanced driving functions being integrated into vehicles priced at 100,000 yuan by 2025, significantly increasing industry penetration [1] - Companies like Tesla, Xiaomi, and XPeng, along with robotics startups such as Yushu and Zhiyuan, are accelerating the commercialization of humanoid robots [1] - The demand for high-performance AI chips is expected to grow due to the competitive landscape of smart vehicles, where advanced driving features may become standard, driving the need for mid-to-high-performance chips [1] - Future robots are anticipated to penetrate various sectors, including home, healthcare, industry, commerce, and education, leading to long-term demand for robotics AI chips [1]

Group 1 - The humanoid robot industry has entered its third phase, characterized by initial intelligence and interaction capabilities, with a clear long-term trend of "machines replacing humans" [1] - Tesla's release of the Optimus robot has accelerated cost reduction in the industry, utilizing bionic joint design (28 degrees of freedom) and hollow cup motor technology, which increases demand for high-value components such as powertrains and intelligent sensors [1] - The commercialization process of humanoid robots has begun, indicating a significant future market potential, with the Optimus robot standing 1.72m tall, weighing 57kg, capable of carrying 20kg, and achieving a maximum speed of 8km/h [1] Group 2 - Humanoid robots consist of various high-cost components, including powertrain systems, battery systems, and intelligent sensing systems, with powertrain and sensing components having a higher value proportion, benefiting related component manufacturers [2] - The demand for hollow cup motors is expected to grow significantly due to humanoid robots, which provide the necessary efficiency and power density without compromising battery life and performance [3] - The Chinese intelligent sensor market is projected to grow from 73.89 billion yuan in 2019 to 133.62 billion yuan in 2023, with a compound annual growth rate of 15.96%, and is expected to reach approximately 155.12 billion yuan in 2024 [4]