点击下方 卡片 ，关注" 具身智能 之心 "公众号 当前，具身智能已成为全球的新焦点，如何打造一个通用的本体和大脑是各个创业公司一直努力突破 的，更是受到资本和产业界的高度关注。 我们今天为大家全面梳理具身大脑领域的国内外知名公司，深入分析其技术特点、产品布局和应用场 景，为公司提供行业全景图，助力战略决策和业务拓展。 重点关注 ：聚焦于开发机器人 "大脑" 系统的企业，包括具身大模型、多模态感知决策系统等。 （一）国内公司 自变量机器人（CEO 王潜） 星海图（CEO 高继扬） 公司简介 ：成立于 2023 年，聚焦 "通用具身大模型" 研发，以 真实世界数据 为主要数据来源构建 具备精细操作能力的通用机器人。在技术路线上更偏向于 "大脑"，从一开始就坚持走 端到端的具身 通用大模型路线 。成立不到两年，已完成 8 轮融资。 代表成果 ： WALL - A 模型：2024 年 10 月推出全球目前最大参数规模的具身智能通用操作大模型Great Wall 系列（GW）的 WALL - A 模型，能整合视觉、语言与运动控制信号，实现从感知到执行的完整 闭环，跨任务泛化能力出色。 开源具身智能基础模型Wall-O ...

Core Viewpoint - The article emphasizes the rapid advancement of technology, particularly in embodied AI models, which are expected to lead to the widespread adoption of humanoid robots across various industries, showcasing a promising future for general intelligence [2]. Company Overview - Galaxy General Robotics is a leading global company in the field of embodied intelligent models, established in May 2023, focusing on providing general robotic products for users worldwide, with applications in commercial, industrial, and medical sectors [4][5]. - The company has research centers in Beijing, Shenzhen, Suzhou, and Hong Kong, and has established joint laboratories with institutions such as Peking University and Xuanwu Hospital [5]. Product Development Timeline - May 2023: Company establishment [6]. - June 2024: Launch of the first self-developed embodied model robot, Galbot G1 [6]. - January 2025: Release of the world's first end-to-end embodied grasping foundational model, GraspVLA [6]. - May 2025: Announcement of the world's first humanoid robot smart retail solution, securing orders from 100 stores [6]. - June 2025: Introduction of product-level end-to-end embodied navigation model, TrackVLA, and the first end-to-end embodied model for the retail industry, GroceryVLA [7]. - August 2025: Launch of Galbot G1 Premium, the first robot equipped with NVIDIA's latest Jetson Thor chip, and victory in the sorting skills competition at the World Humanoid Robot Games [7]. Recruitment and Opportunities - The company is seeking graduates from domestic and international universities for various positions, emphasizing a passion for learning, exploration, and practical application [9]. - Available positions include roles in embodied multi-modal models, humanoid reinforcement learning control, robot planning and control, and embodied software system development [10].

Core Viewpoint - Youlife Group Inc. has entered a joint venture with Beijing Galbot Co., Ltd. to create Youlife Galaxy, aiming to revolutionize vocational training in China by integrating technology and education [1][4]. Group 1: Company Overview - Youlife is a leading blue-collar lifetime service provider in China, operating the largest platform for vocational training, recruitment, and workforce solutions [2]. - The company has partnerships with nearly 100 educational institutions and has facilitated employment for over one million individuals [2][10]. Group 2: Joint Venture Details - Youlife will hold a 51% equity stake in the newly established entity, Youlife Galaxy, which will combine Youlife's vocational education network with Galbot's robotics technology [1]. - The joint venture aims to create a closed-loop ecosystem that connects education, technology, and industry [4]. Group 3: Addressing Labor Gaps - Youlife Galaxy aligns with China's "Vocational Education Quality Improvement Action Plan" and aims to address a projected shortfall of 29 million skilled workers in key manufacturing sectors by 2025 [5]. - The venture seeks to bridge the gap between labor supply and demand through technology-driven solutions [5]. Group 4: Initiatives and Future Plans - Youlife Galaxy plans to establish multiple intelligent industry-education integration hubs and develop a universal robotics curriculum over the next three years [6]. - The venture will focus on training thousands of students in robotics at higher vocational colleges across China, utilizing immersive, real-world settings with Galbot robots [8]. - Tailored programs will cover emerging sectors such as intelligent manufacturing and proactive healthcare, ensuring students acquire practical skills [8]. Group 5: Technological Leadership - Galbot is recognized for its advancements in embodied multimodal large-model robots, with applications across various sectors including retail and healthcare [3][11]. - In 2025, Galbot served as the official robotics platform for the International Olympiad in Artificial Intelligence, showcasing its global technological leadership [3][11].

Investment Overview - A significant investment of 1.1 billion yuan has been completed, led by CATL and its subsidiary Puxian Capital, with participation from various funds including the National Development Bank and Beijing Robotics Industry Fund [1] - This financing marks the largest single investment in the field of embodied large model robots to date, with Galaxy General having raised over 2.4 billion yuan in total funding over two years, setting a record in this sector [1] Company Development - Galaxy General, established in May 2023, focuses on the research and development of embodied multimodal large model general robots, with its first product, Galbot G1, unveiled in June 2024 [1] - Galbot G1 can achieve a 95% success rate in grasping various materials using only synthetic data for training [1] Market Position and Future Plans - The founder and CTO of Galaxy General, Wang He, emphasized the importance of human-like robots in achieving productivity and service capabilities in various sectors [2] - The company has launched the world's first end-to-end embodied large model, GraspVLA, which demonstrates zero-shot generalization capabilities [2] - Galaxy General has also introduced a smart retail solution utilizing Galbot for automated inventory management in unmanned stores, with plans to expand to 100 unmanned pharmacies in major cities by the end of the year [2] Valuation and Industry Interest - Galaxy General's valuation has surpassed 1 billion USD, classifying it as a "unicorn" in the embodied robot sector [3] - The market for embodied intelligent robots has attracted significant attention from industry giants, with CATL investing in multiple robotics projects and exploring potential collaborations [3] Technological Advancements - Recent advancements in lithium battery technology in China have enhanced energy density, safety, and cycle life, supporting the application of lithium batteries in humanoid robots [4] - There is a growing recognition of the potential of solid-state batteries in the development of humanoid robots, which may become a core technology in future smart devices due to their safety and endurance advantages [4]

Group 1 - Galaxy General announced the completion of a new financing round of 1.1 billion RMB led by CATL, with participation from top investors including CATL Capital and the National Development Bank [2] - Over the past two years, Galaxy General has raised more than 2.4 billion RMB in total financing, with significant contributions from various strategic and financial investors [3] - The company focuses on the development of embodied multi-modal large models for general robotics, having launched its first-generation robot Galbot (G1) in June 2024 [5] Group 2 - Galaxy General has introduced several end-to-end large models, including GraspVLA for intelligent grasping in retail environments, which can accurately handle various product types without individual parameter tuning [5][7] - The company has made significant progress in deploying its robotics solutions in smart retail, industrial, and healthcare scenarios, with a notable deployment of its humanoid robot solution in nearly ten stores in Beijing [7] - A joint venture named "Bohin Hechuang" was established with Bosch Group to focus on high-precision manufacturing scenarios, marking a key milestone in the industrial application of embodied AI technology [8][10]

Core Viewpoint - The article highlights the strategic investment by CATL in Galaxy General Robotics, which is expected to enhance collaboration in the field of humanoid robots and accelerate their deployment in various scenarios [1][4]. Group 1: Company Overview - Galaxy General Robotics was established in May 2023 and is a leading project in the field of embodied intelligence in China, alongside companies like Yushu Technology and Zhiyuan Robotics [3]. - The company has raised over 2.4 billion RMB in total funding, including 700 million RMB in angel funding and 500 million RMB in strategic funding [3]. Group 2: Recent Developments - On June 17, 2024, Galaxy General Robotics announced a partnership with Bosch Group's subsidiary, focusing on the commercialization of embodied intelligent robots in industrial manufacturing [6]. - The company has launched the Galbot G1, a humanoid robot designed for operational tasks, featuring a "dual-arm + folding + wheeled chassis" structure [3]. Group 3: Market Strategy - Galaxy General Robotics plans to open 100 unmanned pharmacies in major cities like Beijing, Shanghai, and Shenzhen, with the aim of enhancing accessibility to medications [7]. - The company has already deployed nearly ten stores in Beijing, utilizing humanoid robots for inventory management and customer service [6]. Group 4: Industry Trends - Several listed companies are increasingly investing in the robotics industry through equity investments and strategic partnerships, indicating a growing interest in humanoid robots [9]. - The overlap in supply chains between humanoid robots and sectors like electric vehicles and consumer electronics is a key reason for this trend, as it allows for resource sharing and cost reduction [11].

Group 1 - Galaxy General announced the completion of a new financing round of 1.1 billion RMB led by CATL, with participation from top investors including CATL Capital, National Development Bank, and others [1][2] - This financing round marks the largest single financing in the domestic embodied large model robotics sector and sets a record for total financing in the embodied intelligence field, with Galaxy General having raised over 2.4 billion RMB to date [2] Group 2 - Galaxy General was founded in May 2023 and has completed six rounds of financing so far [2] - The founder, Wang He, is a Tsinghua University graduate and has a PhD from Stanford University, where he studied under a prominent professor [4] Group 3 - In January of this year, Galaxy General launched the world's first end-to-end embodied large model GraspVLA, which achieved zero-shot generalization capability through pre-training on a billion-level synthetic action data [6] - The company also introduced GroceryVLA, the first end-to-end model for retail commercialization, capable of accurately grasping various types of products without individual parameter tuning [6][8] Group 4 - Galaxy General has made progress in deploying its robotics solutions in smart retail, industrial, and healthcare scenarios, including the launch of a humanoid robot solution for smart retail [8] - The company has established a joint venture with Bosch Group and signed a strategic memorandum with Bosch China to explore commercial applications of embodied intelligent robots in industrial manufacturing [10]

Group 1 - Bosch has announced the establishment of a joint venture focused on embodied intelligent robots, particularly in the industrial manufacturing sector, emphasizing dexterous hands and flexible robotic arms [1][2] - The joint venture, named "Chengmai Boyin Hechuang Technology Co., Ltd." (referred to as "Boyin Hechuang"), was formed in collaboration with Galaxy General, a rising star in the embodied intelligence field [2][4] - Galaxy General, founded in 2023, has quickly gained attention and secured significant funding, raising 1.2 billion yuan (approximately 170 million USD) in two rounds of financing [6][8] Group 2 - The technology architecture of Galaxy General is based on a "simulation data-driven + large and small brain model separation" approach, which reduces dependencies between different system components [8][11] - Key models supporting this architecture include GraspVLA, the world's first end-to-end grasping model, and TrackVLA, a pure visual navigation model that does not require mapping or additional sensors [9][11] - Bosch's interest in this partnership is driven by the complementary nature of their precision manufacturing capabilities and Galaxy General's AI decision-making engine [11][13] Group 3 - On the same day the joint venture was announced, Boyin Hechuang signed a strategic cooperation agreement with United Automotive Electronics (UAES) to establish a robotics laboratory called "RoboFab" [13] - RoboFab will focus on intelligent perception, operational control, and system deployment of embodied AI in typical automotive manufacturing processes [13][22] - The automotive industry is increasingly engaging in embodied intelligence, with various players either forming joint ventures or investing in robotics companies to capture opportunities in this emerging market [14][22]

Group 1 - The core viewpoint of the articles highlights the challenges and advancements in the field of humanoid robots, particularly focusing on the need for training data to enhance their capabilities [1][2][3] - Humanoid robots are gradually demonstrating autonomy in complex scenarios, but they still face limitations in precision, speed, and generalization due to insufficient training data [1][3] - Major companies like Tesla and Google are actively working on creating training datasets, but they encounter high costs and long timelines in the process [2][3] Group 2 - The scarcity of training data for embodied intelligence models is a significant bottleneck, with estimates suggesting a million-fold difference compared to text data [2][3] - The largest datasets currently available for humanoid robots are only in the millions, which is inadequate compared to the billions of data points generated in the automotive sector [3] - The lack of sufficient data hampers the training of effective models, leading to a slow iteration cycle and limited real-world application [3] Group 3 - Synthetic data is emerging as a viable solution to the data scarcity issue, utilizing generative AI techniques to create data that mimics real-world scenarios [4][5] - Companies like Galaxy General Robotics are demonstrating the potential of synthetic data with models trained on datasets exceeding one billion entries, which are already being deployed in operational settings like 24-hour unmanned pharmacies [4][5] - Despite its advantages, synthetic data has limitations, particularly in generating multi-modal data such as tactile and auditory information, and concerns exist regarding the effectiveness of synthetic data in real-world applications [5][6] Group 4 - The "simulation to reality" transfer process is crucial for training embodied intelligence models, requiring a reduction in the gap between simulated and physical environments [6][7] - The National and Local Joint Innovation Center for Humanoid Robots is exploring ways to enhance data interoperability across different robot architectures to avoid redundant training efforts [7] - The center has developed a platform that collects data from over 100 robot configurations, aiming to facilitate better data sharing and training efficiency within the industry [7]

Core Insights - The development of humanoid robots for industrial applications faces significant challenges, particularly in the concept validation phase, which tests the engineering capabilities of teams [1][9][10] Group 1: VLA Model Development - Lingchu Intelligent recently launched the Psi-R1 model, a Vision-Language-Action (VLA) model, which aims to enable robots to perform complex tasks in open environments [2][4] - Since 2025, at least seven companies, including Physical Intelligence and NVIDIA, have released VLA-related models, indicating a growing interest in this technology [2][7] - The VLA model's ability to incorporate action signals as input is crucial for improving the robot's decision-making and operational capabilities [5][8] Group 2: Concept Validation Challenges - The concept validation phase requires humanoid robots to demonstrate technical success rates, reliability, efficiency, cost, and profitability, which are critical for commercial viability [3][10] - The transition from laboratory testing to real-world application involves multiple stages, including a three-month internal testing phase and a subsequent three-month validation phase in customer environments [12][13] - Real-world conditions, such as complex lighting and electromagnetic interference, pose additional challenges that must be addressed during the validation process [12][13] Group 3: Market Applications and Limitations - Current humanoid robots are primarily engaged in tasks such as material handling and inspection in various industrial settings, but their roles are often limited to simple operations [14][15] - Companies are focusing on scenarios where humanoid robots can perform tasks that are difficult for automated systems, such as quality inspection in 3C manufacturing [15] - The ultimate goal is for humanoid robots to take on roles that require flexibility and adaptability, which traditional automation cannot achieve [15]