具身智能“进厂”加速，智平方机器人“上岗”东风柳汽产线

Core Viewpoint - The speed of deploying robots in manufacturing is accelerating, with a significant partnership between Zhifang Technology and Dongfeng Liuzhou Automobile to implement the humanoid robot "Aibao" in automotive manufacturing, marking the first full-scene validation of domestic humanoid robots in this sector [1][3]. Group 1: Robot Deployment in Manufacturing - The robot industry is transitioning from demonstration to practical application, with multiple factory collaboration projects initiated by humanoid or mobile robot companies in 2024, expanding tasks from simple handling to complex processes like quality inspection and assembly [3][5]. - The deployment of "Aibao" involves complex tasks such as loading and unloading materials, dragging material carts, and applying labels, covering various stages of production including assembly, inspection, logistics, and maintenance [3][5]. Group 2: Technical Capabilities and Industry Trends - "Aibao" is equipped with the GOVLA model, supporting over 34 degrees of freedom for coordinated control, and features 360° autonomous navigation and multi-tasking capabilities, suitable for mixed production lines and complex industrial environments [5][6]. - The industry is shifting from performance-based demonstrations to real-world applications, with companies like Yushu and Accelerated Evolution also entering collaborative trials in logistics and battery production [5][6]. Group 3: Data Utilization and Model Evolution - The concept of a "data flywheel" is emerging, emphasizing the importance of real-world data for the evolution of AI models, where robots collect valuable data during operations that can be used for model training and optimization [6][7]. - The deployment of robots in complex environments generates high-value data that is crucial for the continuous improvement of AI models, transforming robots into not just operators but also observers and learners [8][7]. Group 4: Long-term Implications for the Industry - The collaboration at Dongfeng Liuzhou's factory serves as a high-density data generator, enhancing the feedback loop for model evolution and pushing the boundaries of industrial intelligence [8][7]. - The ongoing trials are expected to shift robots from static task executors to continuously evolving intelligent systems, integrating technology into real-world applications beyond mere validation [8][7].