对话2025最火具身智能团队：2个自动驾驶第一人带队，1.2亿美元天使融资震动江湖

Core Viewpoint - The article discusses the emergence of a new startup in the field of embodied intelligence, which has recently raised $120 million in angel funding, setting a record in China's embodied intelligence sector. The company, TARS, is led by a highly experienced team from the autonomous driving industry, aiming to create a reliable AI and robotics solution that integrates advanced technology into everyday life [2][3][7][12]. Group 1: Company Overview - TARS, founded by industry leaders Chen Yilun and Li Zhenyu, aims to build a trustworthy super embodied intelligence system that integrates AI into human production and life [12][18]. - The company has completed a record-breaking $120 million angel round financing, led by prominent venture capital firms, indicating strong market interest and confidence in its potential [3][7][8]. Group 2: Team and Expertise - The founding team is described as a "dream team" with extensive experience in the autonomous driving sector, which is crucial for the company's success in embodied intelligence [4][12]. - Key figures include Chen Yilun, a former CTO of Huawei's autonomous driving division, and Li Zhenyu, a senior vice president at Baidu, both of whom have significant achievements in their respective fields [11][16]. Group 3: Technology and Innovation - TARS is developing a core technology engine called AWE (AI World Engine), which is likened to a GPT model for embodied intelligence, focusing on human-centric data collection to enhance AI capabilities [15][37]. - The company emphasizes the importance of creating a complete data acquisition mechanism to ensure the reliability and effectiveness of its AI systems, distinguishing itself from competitors [39][45]. Group 4: Market Potential and Vision - The founders believe that embodied intelligence will be a key driver of global industrial upgrades in the next decade, positioning TARS to capitalize on this trend [12][51]. - The article highlights the growing interest and investment in embodied intelligence, suggesting it could be the next major technological wave following AI and autonomous driving [2][3].