Automatic Manipulator Tracking Control Based on Moving Target Trajectory Prediction

The core issue of automatic manipulator tracking control is how to ensure the given moving target follows the expected trajectory and adapts to various uncertain factors. However, the existing moving target trajectory prediction methods rely on highly complex and accurate models, lacking the ability to generalize different automatic manipulator tracking scenarios. Therefore, this study tries to find a way to realize automatic manipulator tracking control based on moving target trajectory prediction. In particular, a moving target trajectory prediction model was established, and its parameters were optimized. Next, a tracking-training-testing algorithm was proposed for manipulator’s automatic moving target tracking, and the operating flows were detailed for training module, target detection module, and target tracking module. The proposed model and algorithm were proved effective through experiments.

Automatic Button Cell Sorting Manipulator System Research Based on Visual Servo Control

Automatic machine vision-based manipulator used for button cell sorting has high academic value. Firstly, a detailed analysis of the visual system, using an image-based visual servo control method, is provided, so as to establish a set of button batteries automatic sorting manipulator platform. the detail composition of this platform is introduced in this paper. Through analysis of PID control method, a mathematical model is established, and its motor control is simulated.Experimental results show that, the platform of an automatic manipulator system has char high accuracy and higher real-time characteristic.