Design a Fast Loading and Unloading Robot Controlling System by WebAPI Technique

This research utilizes a camera, a collaborative arm, and a PLC-controlled conveyor belt to develop a system that automatically recognizes the angle of the workpiece and quickly loads and unloads the material. First, set up the camera on the gantry of the conveyor belt to accurately grasp the object’s position. Second, develop an algorithm to handle the collaborative arm’s multi-angle motion according to the object’s data. The captured image is analyzed through WebAPI technology to obtain the best and fast-moving path to grab the workpiece. Then, the AI algorithm determines the object’s type, shape, and angle on the conveyor belt. Finally, the recommended path is generated, and the coordinated arm can move to the target quickly and accurately. The experimental results show that the proposed platform accurately adjusts the angle of the gripper and quickly controls the arm to move the workpiece after acquiring the object’s position on the conveyor belt. Coupled with WebAPI technology and improving the efficiency of identification, it also enables a set of AI hosts to serve multiple production lines simultaneously, which is very suitable for use in manufacturing industrials.