蚂蚁集团领投！商汤孵化的「大晓机器人」完成天使轮融资

Core Viewpoint - Recently, Shanghai Daxiao Infinite Robotics Co., Ltd., a subsidiary of SenseTime focusing on embodied intelligence, announced the completion of its angel round financing, led by Ant Group with participation from several well-known institutions [1] Group 1: Company Overview - Daxiao Robotics was established in July 2025, led by Wang Xiaogang, co-founder and executive director of SenseTime, and comprises AI frontier scientists from prestigious universities such as Nanyang Technological University and the University of Hong Kong [2] - The company focuses on the "human-centered" ACE (Ambient-Centric Embodiment) technology paradigm, which differs from the common visual-language-action (VLA) model by constructing a full-link technical system that enables robots to understand and adapt to the physical world and human behavior logic [4] Group 2: Technology and Innovation - The ACE paradigm combines first-person and third-person perspectives to collect human behavior data in real-life scenarios, synthesizing and augmenting this data through a world model to create a "super brain" capable of understanding human intentions and adapting to dynamic environments [6] - The funds raised will primarily be used to accelerate the iteration of the ACE technology paradigm, improve the environmental data collection system, and develop the next-generation "Kairos 3.0" world model [7] Group 3: Product Development and Market Expansion - Daxiao Robotics aims to scale its core product, the embodied super brain module A1, which is designed to adapt flexibly to different robot forms, enabling robots to understand commands, navigate, and perform tasks autonomously [7] - The A1 module has been integrated with SenseTime's "Ark" visual platform, extending hundreds of AI application functions, and initial validations have been completed in various scenarios such as inspection and cultural tourism, forming a scalable commercial loop [7] - The company is also investing in hardware solutions and collaborating with leading embodied intelligence companies to optimize robot design for better alignment with actual scenario needs [9]