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Industrial Robotic Intelligence Simulation in Metaverse Scenes

Yi Wang,Chaofei Wang,Heming Zhang

Published 2022 in ACM Cloud and Autonomic Computing Conference

ABSTRACT

The meta universe includes a complete mapping of the real world. The immersive feeling of the meta universe can be seen as the expansion of the real world simulation. It is of great significance to complete the expansion and optimization of the real world in the virtual environment. So it is inevitable for the meta universe to simulate various real world scenes. It has a wide application prospect to establish virtual images and virtual objects in the simulation scenes of the meta universe, and to drive, interact and optimize them in an intelligent way. The scope of the meta universe is huge, there are many scenes, and the implementation methods are also different. Firstly, this paper gives a basic implementation framework of the mapping of the meta universe to the real scene. On this framework, it takes the meta universe to the industrial scene as the starting point, and simulates the industrial robot as the basic virtual image of the robot in this environment. In the meta universe scene of virtual reality fusion, the motion route of the simulated industrial robot realized by the framework proposed in this paper is optimized by reinforcement learning. This digital twin scene is also of great significance to the path optimization of robots in the world. This framework can be extended to various field scenes of each meta universe to complete the construction of the virtual environment of the meta universe.

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