首发丨宁德时代，投了一位90后教授

Core Viewpoint - The article highlights the significant financing round completed by Beijing Yinhe General Robotics Co., Ltd., which raised over 1.1 billion yuan, marking the largest single financing in the field of embodied intelligence robots and setting a record for total financing in this sector [1][2][3]. Financing Details - Yinhe General was established in May 2023 and has raised over 2.4 billion yuan to date, attracting top-tier investors including CATL Capital, National Development Bank, and others [2][4]. - The recent financing round included participation from major investment firms and existing shareholders, indicating high demand and interest in the company [1][4]. - The company completed a 700 million yuan angel round in June 2023 and a 500 million yuan strategic round in November 2023, showcasing a rapid financing pace [4]. Industry Trends - The embodied intelligence sector is experiencing a surge in interest and investment, with 27 financing deals amounting to 4.45 billion yuan reported in the first two months of 2025, nearing the total for the entire year of 2024 [19]. - The entry of CATL into the robotics field is seen as a significant indicator of market trends, as the company has increased its investments in robotics since late 2024 [4][5]. Technological Developments - Yinhe General's recent advancements include the launch of the Galbot, which is capable of managing inventory and operations in smart pharmacies, with plans to deploy in 100 stores by the end of the year [16][18]. - The company is also focusing on training robots for material handling and sorting in industrial settings, collaborating with major automotive companies [18]. Leadership and Vision - The company is led by Wang He, a professor from Peking University, who has a strong background in embodied intelligence research and aims to integrate physical interaction skills with cognitive abilities in robots [11][12][14]. - Wang envisions a future where robots can seamlessly assist in daily life, emphasizing the importance of robots being competent in various scenarios [18][20].