Logistics Robot Grasping Method Based on OpenCV

In recent years, the application of logistics robot technology in China has been very extensive. Robot grasping, as a key area of robot technology application, has always been a major obstacle in robot research due to its cumbersome and insufficiently intelligent grasping process, as well as inaccurate target positioning. This paper proposes a method of object grasping based on OpenCV image processing for robots. Experiments show that compared with traditional robots, this method can accurately identify cargo in complex logistics environments. It completes tasks such as preprocessing objects, positioning the location information of objects, and grasping them quickly and accurately. This effectively improves work efficiency, shortens travel distance, and reduces cost consumption.