In the wave of intelligent manufacturing, the automotive industry has always been at the forefront of technological innovation. On June 7, 2025, Dongfeng Liuzhou Automobile Co., Ltd. and AI² Robotics (Shenzhen) Technology Co., Ltd. reached a strategic cooperation agreement to officially introduce AlphaBot 2 ("Aibao"), a general-purpose intelligent robot equipped with a global full-body visual language action model (GOVLA). This marks the first time that the domestic embodied large model has been verified in the whole process of automobile manufacturing, opening a new stage of all-weather intelligent operation.
1. Technological breakthrough: from model to production line
The GOVLA model developed by AI² Robotics has excellent environmental understanding, full-body collaborative operation and complex task reasoning capabilities, which provides support for AlphaBot 2 to operate in multiple scenarios in automobile factories.
In the loading and unloading process, AlphaBot 2 can complete handling, attitude adjustment and precise placement within 10 seconds, the efficiency is about 30% higher than that of manual work, and the error is controlled at the millimeter level. In the logistics towing scenario, the robot uses the global perception and path planning system to achieve dynamic obstacle avoidance, avoid 98% of potential collisions in actual tests, and improve the transfer efficiency of material trucks by 25%.
In addition, AlphaBot 2 can autonomously perform high-precision tasks such as door quality inspection and protective cloth attaching. The data shows that its detection accuracy rate is 99.7%, and the pass rate of patches is stable at more than 98.5%, which greatly reduces the defective rate.
Figure: AI² Robotics Robot is stationed at Dongfeng Liuqi Plant
2. Solve the pain points of traditional manufacturing
The traditional automobile assembly workshop relies heavily on labor, and workers need to bend over and carry frequently, which has high labor intensity and is prone to occupational diseases in the long term. AlphaBot 2 takes on heavy physical tasks, allowing workers to move to more technical roles such as equipment maintenance and process optimization. Dongfeng Liuzhou expects that the introduction of robots will reduce the labor cost of a single assembly workshop by about 15% within a year.
At the same time, the robot's ability to operate around the clock significantly improves production time utilization. Taking a production line of Dongfeng Liuzhou Automobile as an example, about 15% of the time loss caused by manpower rotation and rest in the past has been basically eliminated, and the annual production capacity can be increased by more than 8,000 units, bringing significant economic benefits.
3. Data Closed-Loop Drives Technology Evolution
AlphaBot 2 sends back about 2TB of multi-dimensional industrial data to the GOVLA model every month in factory operations, covering process paths, component parameters, and more. These real production data promote model iteration, improve its understanding of complex environments and task details by 40%, realize the optimization closed loop of "technology-scenario-data-re-technology", and accelerate the upgrade of industrial intelligence.
4. Demonstration effect and industry response
Dongfeng Liuzhou's deployment is stimulating widespread attention in the industry. Since the announcement of the cooperation, more than 30 auto parts companies and 15 OEMs have consulted AI² Robotics for cooperation intentions, intending to transform the production line with the help of embodied large-scale model technology. This trend reflects the acceleration of the automotive manufacturing industry towards the stage of intelligent transformation.
5. The upgrading of the labor structure has shown initial results
The introduction of robot technology not only improves manufacturing efficiency, but also promotes the adjustment of enterprise talent structure. In an assembly workshop of Dongfeng Liuzhou Automobile, the proportion of basic assembly positions has been reduced from 80% to 50%, and the rest of the employees have turned to data monitoring, system maintenance and other positions after training, and the overall technical literacy has been improved. This provides talent support for the long-term development of the enterprise and accumulates valuable experience for the transformation of industrial automation.
6. Challenges and future directions
Despite the remarkable results, challenges remain. At present, AlphaBot 2 still needs manual intervention in the face of sudden equipment failure or complex structure, and in the future, it is necessary to continuously optimize the reasoning and autonomous decision-making capabilities of large models. In addition, the compliant use and encrypted storage of industrial data have also become problems that cannot be ignored, and it is necessary to establish a sound data authority and security system to ensure the security of the core information of the enterprise.
On the other hand, the application prospect of domestic embodied large models is broad. Combined with the digital twin system, it can realize the real-time mapping of virtual simulation and real processes; The integration of the industrial Internet platform is expected to build an intelligent supply chain to achieve accurate forecasting and inventory optimization. According to the "Annual Report on the Development of China's Intelligent Manufacturing", by 2030, domestic embodied large models will be deeply applied in more than 60% of automobile manufacturing links, promoting China from a manufacturing country to a manufacturing power.
7. Summary
The official entry of the domestic robot AlphaBot 2 marks the transformation of the embodied large-scale model from proof of concept to large-scale application in the automotive manufacturing scene. It not only alleviates the manpower dilemma in traditional manufacturing, but also promotes the all-round upgrade of efficiency, quality and technical structure. Although there are still challenges, in the context of the deep integration of artificial intelligence and industrial systems, domestic robots will continue to release their potential in more industrial scenarios in the future and help China's intelligent manufacturing achieve leapfrog development.
