Group 1 - The core point of the article is that Galaxy General Robotics has successfully completed a new round of financing exceeding $300 million, setting a record for single-round financing in the domestic embodied intelligence sector [1] - The financing round was led by China Mobile Chain Long Fund, with participation from various investment platforms and industry giants, including CICC Capital, the Chinese Academy of Sciences Fund, and others [1] - Since its establishment two years ago, the company has rapidly increased its financing scale, accumulating approximately $800 million (over 5.6 billion RMB) in total financing, with a post-financing valuation of $3 billion (about 21.1 billion RMB) [1][2] Group 2 - With continuous financing support, Galaxy General Robotics is advancing its commercialization process, aiming to achieve several billion in revenue by the first half of 2025 and entering the "unicorn" club with a valuation of over $1 billion [2] - The company has developed a full-stack self-research capability, transitioning from a "high-quality data set" to "embodied large models" and then to "robot bodies," with plans to release multiple core technology products in 2025 [2]

Core Viewpoint - Galaxy General Robotics has successfully completed a new financing round exceeding $300 million (approximately 2.1 billion yuan), marking the largest single financing round disclosed in the field of embodied intelligence [1][6]. Financing Details - The financing round was led by China Mobile Chain Long Fund, with participation from major investment platforms and industry giants such as CICC Capital, Chinese Academy of Sciences Fund, Su Chuang Investment, CCTV Media Fund, and Tianqi Co., Ltd. Additionally, international investment institutions from Singapore and the Middle East, along with existing shareholders, also contributed [1][6]. - The total financing amount for Galaxy General Robotics has reached approximately $800 million, with a valuation of $3 billion (around 21.1 billion yuan) [6]. Industry Impact - The investment from domestic chain enterprises and industrial capital signifies strong recognition of Galaxy General Robotics' technological path and its ability for large-scale industrialization, providing significant momentum for the company's development across industrial, commercial, and household sectors [6]. - The involvement of international funds further expands Galaxy General's opportunities for global market layout and collaboration [6]. Technological Advancements - Since its establishment, Galaxy General has made continuous breakthroughs in core technologies of embodied intelligence, surpassing a dataset of 10 billion and building a leading embodied brain [3][8]. - The company has achieved large-scale applications of humanoid robots in various fields, including industrial manufacturing, instant retail warehousing, smart retail, and healthcare, with thousands of units deployed [3][8]. - In the industrial manufacturing sector, Galaxy General has established deep collaborations with leading companies such as CATL, Bosch, Toyota, Hyundai, BAIC, SAIC, Zeekr, and Great Wall Motors, achieving the world's first real autonomous operation of humanoid robots in factories, with cumulative orders reaching thousands of units [3][8]. Recent Innovations - Galaxy General recently launched the first cross-entity, all-domain navigation base model, NavFoM, enabling robots to understand the essence of movement and achieve both following and autonomous navigation capabilities in complex scenarios, marking a breakthrough in long-range navigation and dynamic obstacle avoidance [4][9]. - The company introduced the Dexterous Hand Neural Dynamics Model (DexNDM), which creates a training-based control algorithm for dexterous hands, allowing for precise operations such as screw tightening and furniture repair, thus enhancing the application of embodied intelligence in precision industrial tasks [4][9]. - Additionally, Galaxy General is conducting research on bipedal robots and has released the Any2Track system, which significantly improves the learning efficiency of humanoid robots' full-body movements, enhancing stability and adaptability in complex environments [4][9].