The Application of Sports Action Multimedia Database in Picking Robot Actuator

The standardization and accuracy of the action of the picking robot are not only related to the picking efficiency of the fruit, but also affect the picking effect, especially the vulnerable fruit, which is easy to cause the breakage of the fruit and reduce the picking quality. In order to improve the accuracy of picking robot action, it trained and optimized the picking robot action, and simulated the accuracy of the action based on the multi-media database of sports training items, combined with neural network machine learning training and image processing technology. The simulation results show that the optimized picking action error is small, and with the neural network training With the increase of samples, the error has a downward trend, which provides an important basis for the design of the picking end of the picking robot.