多元场景下，中国工业机器人走出差异化 AI 路径

Core Viewpoint - The integration of AI in industrial robots should focus on practical applications rather than sheer quantity, emphasizing the need for flexibility and efficiency in manufacturing processes [1][4]. Group 1: Current State of Industrial Robots - The execution in manufacturing primarily relies on either automated equipment or manual labor, each with its own limitations in flexibility and efficiency [4]. - Industrial robots currently require human intervention for tasks such as quality inspection and assembly, particularly when switching between different products [4]. Group 2: AI Integration in Robotics - The introduction of AI, particularly through visual algorithms, can enhance the functionality of industrial robots by enabling them to recognize workpieces and optimize operational processes through continuous learning [4]. - The effectiveness of AI in industrial robots is not determined by the amount of AI used, but rather by its relevance and integration with real-world scenarios [4]. Group 3: Competitive Advantage of Chinese Industrial Robots - Chinese industrial robot companies benefit from a diverse manufacturing landscape, allowing for better adaptation to various industry needs compared to overseas counterparts [5]. - The variety in China's manufacturing sectors, such as 3C electronics and automotive parts, provides rich data for training AI algorithms, enhancing their generalization capabilities [5].