Abstract
In recent years, with the continuous development of robotics technology, robot coupling simulation has become a highly concerned and researched field. Robot coupling simulation involves the interaction between multiple robots or between robots and the environment, and multiple aspects need to be considered. In this case, digital twin technology provides a new solution and tool for robot coupling simulation. This article aims to study the application of digital twin technology in robot coupling simulation, explore the basic knowledge of digital twin technology and big data technology in robot system modeling, motion simulation, and control simulation, and recommend using algorithms such as deep learning, convolutional neural networks, and recurrent neural networks for digital twin modeling and prediction. This article also conducts six axis robot experiments to verify the effectiveness and feasibility of digital twin technology in robot coupling simulation. Finally, this article summarizes the advantages and limitations of digital twin technology in robot system simulation, and proposes the future development trend of digital twin technology in robot system simulation.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call