Xiaopeng Robotics Center has recently completed a deep restructuring of its organizational framework, establishing nine secondary departments, marking the official entry of its robotics business into a strategic advancement phase directly overseen by the founder. After announcing on June 10 that he would personally take over as the head of the Robotics Center, He Xiaopeng, chairman of Xiaopeng Motors, has further taken on the role of head of the Product Department within the Robotics Center, directly receiving business reports from department heads within the Product Department, demonstrating a high level of centralization and in-depth involvement in the core product line.

It is reported that the newly established nine secondary departments include not only the Product Department, but also the Brand Marketing Department, as well as departments focusing on core technologies and promotion mechanisms such as the Embodied System Engineering Department, the General Foundation Department (Virtual), the Control and Safety Development Department, the Embodied Intelligence Department, the Data Loop Department, the Product Matrix Department (Virtual), and the Project Management Department. From the departmental setup, it is clearly evident that the orientation of technological research and development and industrial implementation is emphasized. In particular, the establishment of departments like Embodied Intelligence and Data Loop directly addresses the core technical challenges of AI large models and hardware integration at present.
He Xiaopeng had previously stated in an internal letter that Xiaopeng Robotics has officially entered the prelude to mass production and commercialization. This key milestone was likened by him to the breakthrough stage eight years ago when Xiaopeng Motors was about to deliver its first vehicle, the G3. The drastic adjustment of the organizational structure and the flattening of the management hierarchy are not only a strategic focus for Xiaopeng Motors to open up a second growth curve outside of its smart car business, but also reflect the urgent trend of the AI embodied intelligence industry moving from laboratory technology to large-scale production and delivery.
