Design of Virtual Simulation Teaching Platform for Campus Robot Based on ROS-Gazebo

Abstract

The paper aims to address the limitations of current virtual simulation teaching platforms for robots, such as lack of versatility and timely instructional feedback. To achieve this, we have designed a campus robot virtual simulation teaching platform based on ROS-Gazebo. Firstly, the platform consists of a versatile human-computer interactive interface designed with QT, integrated with an algorithm library containing various classic algorithms required for experiments. Secondly, we have established a campus environment and a simulation robot using the Gazebo platform, while optimizing the kinematic model and other parameters of the robot. Finally, the feasibility of the platform is validated through hierarchical experimental teaching. Experimental results demonstrate the high fidelity of the platform in reproducing offline course experimental scenes, the flexibility in designing experimental content, and its ability to meet the needs of students with different abilities. Importantly, the designed environment exhibits practical equivalence to real experimental scenes and offers good portability, thereby laying a foundation for implementing robot experiments in real scenarios.