<p>With the development of industrial automation and embodied intelligence, the application of intelligent robotic arms is becoming increasingly widespread, and precise feedback control of robotic arms has become its core demand. Therefore, this paper conducts a systematic review and comment on the current visual servo control systems of various industrial robotic arms. This paper reviews the latest advancements in visual servo technology and controllers, covering research contents in five major fields: industry, engineering, aerospace, agricultural harvesting, and medical devices. By reviewing and summarizing a large number of literatures in the research fields of industrial robot arm control methods and visual information feedback approaches over the past two decades, this paper provides readers with a comprehensive overview of the research context, current situation, hotspots and development trends in this field. By analyzing the existing literature, it is pointed out that the combination of appropriate visual feature extraction and the current mainstream control theory can effectively improve the positioning accuracy and robustness of the robotic arm in complex scenarios. Meanwhile, the technical bottleneck of insufficient feature tracking stability under complex working conditions is discussed. Future research can focus on the fusion of multimodal visual features to promote the development of this field.</p>