Innovative Practical Teaching in Robotics Based on Digital Twin

Abstract

The rapid advancement of digital technologies has established digital twin platforms as crucial tools for industrial modernization. Integrating this technology into robotic practice teaching facilitates the construction of an intelligent educational paradigm that bridges virtual and physical realms. This integration overcomes traditional teaching limitations, including constrained physical resources, operational risks, and confinement to single-use scenarios. The Rabo robot digital twin system combines a robotic dynamics simulation engine with an intelligent control system, enabling real-time data interaction and synchronized control with physical entities. Its key functionalities include virtual simulation and remote operation. Through practical teaching applications, this system enhances the efficiency of robot algorithm verification and motion control, thereby significantly supporting robotic experimental education and technical validation. Furthermore, it plays a pivotal role in cultivating students' innovative practical skills.