节点文献
基于脑电信号驱动的机器人虚拟仿真课程教学方法研究
Research on Teaching Methods of Robot Virtual Simulation Course Based on EEG Signal Driving
【摘要】 针对目前脑机接口与机器人交互技术的高门槛问题,采用基于脑机接口技术和三维建模软件建立机器人虚拟仿真控制平台的方法,搭建脑视觉信息与自动化机器人的新桥梁,帮助学生更清晰地理解这种交互技术背后的原理。首先利用交互式MATLAB工具箱EEGLAB对脑电信号数据进行处理,然后使用Robotics工具箱进行机械臂仿真可视化案例设计,最后搭建机器人虚拟仿真平台,以6自由度的工业机器人为例,展示脑机接口技术驱动的机器人虚拟仿真方法。该方法旨在激发学生对机器人课程的兴趣,激发学生学习积极性,同时为未来的教育领域和人机交互技术提供全新的思路和应用。
【Abstract】 Aiming at the current high threshold problem of brain-computer interface and robot interaction technology, this paper adopts the method of building a robot virtual simulation control platform based on brain-computer interface technology and 3D modeling software to build a new bridge between brain visual information and automated robots to help students understand the principles behind this interaction technology more clearly. Firstly, the interactive MATLAB toolbox EEGLAB is used to process the EEG signal data, then the Robotics toolbox is used to design a case study for the simulation visualization of a robotic arm, and finally, a robot virtual simulation platform is built to illustrate the virtual simulation method of a robot driven by the brain-computer interface technology using a 6-degree-of-freedom industrial robot as an example. The method aims to stimulate students’ interest in robotics courses and motivate them to learn,as well as to provide new ideas and applications for the future education field and human-computer interaction technology.
【Key words】 brain-computer interface; robot control; virtual simulation; education field;
- 【文献出处】 铜陵学院学报 ,Journal of Tongling University , 编辑部邮箱 ,2025年01期
- 【分类号】G642;TP242-4
- 【下载频次】9