MANIPULATION
Research on Robotic Arm Based on YOLO
Huiming Li, Shuo Zhou, Yuyuan Du, Qingliang Zou, Shoufeng Tang
- Year
- 2022
- Citations
- 2
Abstract
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.
Keywords
Computer scienceArtificial intelligenceRobotRobotic armObject (grammar)Object detectionComputer visionRobot manipulatorTest (biology)Industrial robot
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