以下文章来源于睿兽Pro ，作者Bestla 睿兽Pro . 创业邦旗下横跨一二级市场的科创数据平台。实时投资数据、追踪产业创新。找数据、做分析、链资 源，就上睿兽分析。 全球投融资周报 睿兽分析每周整理当周最值得关注的国内外热门投融资事件，帮助大家及时了解全球市场动向。 一级市场投融资概览 根据睿兽分析监测数据，本周国内一级市场披露的融资事件55个，与上周相比减少47个，其中已披 露融资金额的事件36个，总融资规模为42.06亿元人民币，平均融资金额为1.17亿元人民币。 行业分布 从融资事件数量来看，本周人工智能、智能制造、医疗健康领域融资最活跃。 分别为人工智能12 个、智能制造12个、医疗健康8个。 从已披露金额事件的融资规模来看，人工智能最高，融资总规模约为12.03亿元人民币。其中机器人 开发服务商 「地瓜机器人」 获1亿美元 A轮融资。 地瓜机器人成立于2024年初，由自动驾驶芯片公司地平线机器人事业部分拆组建，专注于消费级机 器人底层计算平台的研发。该公司在2024年开发者日推出旭日5智能计算芯片及RDK X5机器人开发 者套件，旨在为行业提供通用软硬件底座 。 其次是医疗健康行业，已披露融资 ...

Core Viewpoint - The article highlights the successful completion of a $100 million Series A funding round by Shenzhen Digua Robotics, a company focused on embodied intelligent robots, indicating strong market interest and investment in the robotics sector [1][8]. Company Overview - Digua Robotics, a spinoff from Horizon Robotics, aims to create a comprehensive development infrastructure for intelligent robots, focusing on both hardware and software integration [4][5]. - Horizon Robotics, established in 2015, initially focused on robotics chips but has since shifted its core business to automotive and AIoT, with plans to list on the Hong Kong Stock Exchange in October 2024 [3][5]. Product Development - Digua Robotics has launched several products, including the Xuri 5 intelligent computing chip and the RDK X5 developer kit, aimed at simplifying robot development [4][7]. - The Xuri 5 chip has been integrated into popular consumer robots, with over 5 million units shipped, reflecting significant market penetration [7]. Market Position and Strategy - The company positions itself as a "Wintel" for the robotics era, focusing on software and hardware collaboration rather than manufacturing physical robots [4][8]. - The funding will accelerate the development of its ecosystem, enabling collaboration with leading companies in the field [1][8]. Industry Trends - The article notes a trend of automotive industry professionals transitioning into the robotics sector, driven by overlapping technology paths between autonomous driving and humanoid robots [10][11]. - Major automotive companies, including Tesla and XPeng, are entering the humanoid robot market, leveraging their manufacturing capabilities and technological expertise [13][18]. Investment Landscape - The recent funding rounds in the robotics sector, including Digua Robotics and other startups, indicate a growing interest from investors in companies with a background in autonomous driving [9][10]. - The article suggests that the influx of capital into the robotics space is likely to continue, driven by the perceived potential for growth and innovation [9][10].

Investment Rating - The report maintains a positive outlook on the humanoid robot industry, emphasizing the importance of software development for commercialization [3][4]. Core Insights - The report identifies that the hardware maturity of humanoid robots is currently higher than that of software, with software being the key to commercialization. It highlights the need for advancements in algorithms, data, and control systems to drive the industry forward [3][5][6]. Summary by Sections 1. Algorithms: The Core of Embodied Intelligence - The algorithm framework is divided into two levels: the upper "brain" focuses on task-level planning and decision-making, while the lower "cerebellum" handles real-time motion planning and joint control [3][11][18]. - The report discusses the evolution of control algorithms, noting a shift from traditional methods to modern approaches like reinforcement learning (RL) and imitation learning (IL) [3][19][29]. - The VLA (Vision-Language-Action) model is highlighted as a significant advancement in upper-level control, enabling robots to understand and execute tasks through natural language processing [3][36][40]. 2. Data: The Foundation of Algorithm Learning - Data quality and diversity are crucial for algorithm performance, with sources categorized into real data, synthetic data, and web data. Real data is the most accurate but least abundant [3][74][76]. - The report emphasizes the importance of remote operation and motion capture technologies for collecting high-quality real data [3][79]. 3. Control Systems: The Foundation of Embodied Intelligence - The control system is described as the "brain" of humanoid robots, consisting of hardware (SoC chips, CPUs, GPUs, NPUs) and software components [3][3][3]. - The report notes that the industry lacks a unified consensus on the structure of the "brain" and "cerebellum" in humanoid robots, which are essential for executing complex algorithms and tasks [3][3][3]. 4. Investment Opportunities - The report identifies several key companies in the humanoid robot industry worth monitoring, including: - Controller segment: Tianzhun Technology, Zhiwei Intelligent, Desay SV [4][4]. - Motion control technology: Huichuan Technology, Xinjie Electric, Leisai Intelligent, Gokong Technology, Tosida [4][4]. - Chip manufacturers: Rockchip, Horizon Robotics [4][4]. - Data collection equipment: Lingyun Optical, Aofei Entertainment [4][4].