Research on Positioning and Grasping Technology of Industrial Robot Based on Visual Recognition

With the rapid economic growth, our country's intelligent manufacturing sector has encountered new development opportunities. Traditional robots can perform specific tasks according to instructions, but as work environments have become more complex, modern robots are equipped with multiple sensors to adapt to these challenging conditions. This paper focuses on the needs of robot automation for positioning and grasping in industrial production, delving into the technology of industrial robot positioning and grasping based on visual recognition. By integrating visual recognition with robot motion control, the study explores image preprocessing, feature extraction, positioning algorithms, and grasping strategies. Experimental results show that this technology significantly enhances the accuracy and efficiency of robot positioning and grasping, providing technical support for the advancement of industrial automation and offering broad application prospects across various fields.