软件可移植性
计算机科学
机器人
灵活性(工程)
人机交互
运动学
虚拟机
模拟
人工智能
操作系统
统计
物理
数学
经典力学
作者
Jinglong Wu,Huixiang Liu,Mingyue Hu,Xiaotian Wu,Wenbai Chen
标识
DOI:10.1109/ccis59572.2023.10263078
摘要
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.
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