Study on Digital Painting Art Based on Computer Virtual Technology

Abstract

To improve the comprehensive level of artificial intelligence robot painting art creation, the software and hardware of the robot are designed from the perspective of robot copying painting. In this study, a more refined 6-axis robot is used to cooperate with the 2-axis slider connecting rod platform for performing painting operation. Its hardware uses a 6-axis robot system grafted on the 2-axis screw slider platform, and its software uses machine learning artificial intelligence algorithms. These algorithms include multi-layer spatial convolution neural network and multi-column fuzzy neural network. It is found that the subjective evaluation results and market transaction value of the robot copying paintings completed by the system are equivalent to the creative level of senior undergraduate and graduate students majoring in fine arts. It is far higher than the high-precision inkjet system that has completed market transformation. Finally, it is considered that the robot copying painting system has basically met the requirements of the robot art creation system and is separated from the technical category of the picture printer.