HANGZHOU, CHINA - Media OutReach Newswire - 17 July 2026 - Several footwear manufacturers in Vietnam have entered into strategic partnerships with Hangzhou Yingshen Intelligent Technology Co., Ltd. (Yingshen Intelligence), a Chinese artificial intelligence company specialising in 4D world models and embodied intelligence. Under the agreements, Yingshen Intelligence will export hundreds of flexible embodied robots to footwear factories in Vietnam, with the combined order value reaching tens of millions of yuan. Powered by the company's proprietary 4D world-model technology, embodied intelligence algorithms and robotic systems, the products will be used to support the flexible and intelligent upgrading of footwear production lines. Notably, Yingshen Intelligence's export of embodied robots to Vietnam also points to an emerging shift in the commercialisation of Chinese advanced technologies. Unlike conventional robotics companies that rely primarily on one-off hardware sales, Yingshen Intelligence regards the robot itself as the physical platform through which its world model operates in real production environments. The product's core value therefore lies not only in the hardware, but also in the model's ability to perceive its surroundings, understand manufacturing processes, make real-time decisions and continuously improve through operational data. Under this model, customers receive more than robotic equipment. They also gain access to ongoing model inference, algorithm updates and scenario-specific optimisation services. In effect, the business model is evolving from simply selling robots to providing model capabilities and usage-based, token-powered services. Industry observers said this model-led approach, with robots serving as the physical carriers of algorithms and computing capabilities, could create greater long-term service value for embodied intelligence products and offer a new pathway for Chinese technological solutions to expand into overseas markets. The participating manufacturers include Power Loong(Công Ty Tnhh Giày Bảo Long) , Thuan Phi(Công Ty Tnhh Giày Thuận Phi) and Vietnam Garment（CÔNG TY TNHH MAY VIỆT NAM）, which plan to deploy Yingshen Intelligence's robotic products and algorithmic capabilities at their footwear factories in Hai Phong. Wu Xuewei, Vice-President of Yingshen Intelligence; Mao Zhenwu, General Manager of Thuan Phi; Lin Yonghui, General Manager of Power Loong; and Chen Zhixian, General Manager of Vietnam Garment signed the agreements on behalf of the four companies. 4D World Model Advances Flexible Manufacturing Applications for Chinese Embodied Intelligence The flexible embodied robots being exported to Vietnam are powered by Yingshen Intelligence's latest 4D world model. World models are widely regarded as an important technological pathway towards general-purpose physical intelligence. They are designed to help artificial intelligence understand spatial relationships, object states and dynamic changes in the real world, while predicting the possible outcomes of different actions. In this way, AI systems can gradually learn how the physical world operates. For embodied robots, this capability enables continuous environmental perception and real-time decision-making during operation. On footwear production lines, for example, the robots can identify differences in shoe styles, sizes, material conditions and adhesive states, and adjust their motion trajectories and operating strategies in response to actual production conditions. Unlike conventional automation systems that repeatedly execute predefined programmes, world-model-powered robots are designed to respond more flexibly to changing environments. Their operating process more closely resembles that of skilled workers, who assess conditions on site and adjust their actions accordingly. Yingshen Intelligence attributes this adaptability to its native 4D technological approach. The company collects and generates 4D data at scale, representing both the three-dimensional structure of objects and their continuous changes over time within a unified framework. The data is then used to train world models with spatiotemporal understanding, reasoning and prediction capabilities. Compared with approaches that rely mainly on two-dimensional images, videos or static three-dimensional data, 4D data can more comprehensively capture the positions, shapes, movement trajectories and interaction processes of objects in real environments. Two-dimensional images and videos can record visual changes, but provide relatively limited information about spatial structure. Static three-dimensional data can reconstruct spatial relationships, but cannot fully describe how objects and environments...