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Research on Robotic Arm Based on YOLO

Huiming Li, Shuo Zhou, Yuyuan Du, Qingliang Zou, Shoufeng Tang

发表年份
2022
引用次数
2

摘要

In order to explore the industrial application of object detection, we integrate the YOLO algorithm into the industrial robot and visually guide the manipulator to capture the specified target. We make datasets based on the working environment of the manipulator, and through the training of the YOLOV5 model, model can identify the specified target in different situations. We test the model from many angles, the model performs well and can accurately identify specified target in the test dataset.

关键词

Computer scienceArtificial intelligenceRobotRobotic armObject (grammar)Object detectionComputer visionRobot manipulatorTest (biology)Industrial robot

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