Rácz Melinda, Noboa Erick, Détár Borsa, Nemes Ádám, Galambos Péter, Szűcs László, Márton Gergely, Eigner György, Haidegger Tamás
Research Centre for Natural Sciences, Eötvös Loránd Research Network, Magyar Tudósok krt. 2., H-1117 Budapest, Hungary.
János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Üllői út 26, H-1085 Budapest, Hungary.
Sensors (Basel). 2022 Mar 16;22(6):2284. doi: 10.3390/s22062284.
Given the rising popularity of robotics, student-driven robot development projects are playing a key role in attracting more people towards engineering and science studies. This article presents the early development process of an open-source mobile robot platform-named PlatypOUs-which can be remotely controlled via an electromyography (EMG) appliance using the MindRove brain-computer interface (BCI) headset as a sensor for the purpose of signal acquisition. The gathered bio-signals are classified by a Support Vector Machine (SVM) whose results are translated into motion commands for the mobile platform. Along with the physical mobile robot platform, a virtual environment was implemented using Gazebo (an open-source 3D robotic simulator) inside the Robot Operating System (ROS) framework, which has the same capabilities as the real-world device. This can be used for development and test purposes. The main goal of the PlatypOUs project is to create a tool for STEM education and extracurricular activities, particularly laboratory practices and demonstrations. With the physical robot, the aim is to improve awareness of STEM outside and beyond the scope of regular education programmes. It implies several disciplines, including system design, control engineering, mobile robotics and machine learning with several application aspects in each. Using the PlatypOUs platform and the simulator provides students and self-learners with a firsthand exercise, and teaches them to deal with complex engineering problems in a professional, yet intriguing way.
鉴于机器人技术越来越受欢迎，学生主导的机器人开发项目在吸引更多人投身工程学和科学研究方面发挥着关键作用。本文介绍了一个名为PlatypOUs的开源移动机器人平台的早期开发过程，该平台可以通过肌电图（EMG）设备进行远程控制，使用MindRove脑机接口（BCI）头戴式设备作为信号采集传感器。采集到的生物信号由支持向量机（SVM）进行分类，其结果被转换为移动平台的运动命令。除了物理移动机器人平台外，还在机器人操作系统（ROS）框架内使用Gazebo（一个开源3D机器人模拟器）实现了一个虚拟环境，该虚拟环境具有与现实世界设备相同的功能。这可用于开发和测试目的。PlatypOUs项目的主要目标是创建一个用于STEM教育和课外活动的工具，特别是实验室实践和演示。对于物理机器人，其目标是提高常规教育计划范围之外的人们对STEM的认识。它涉及多个学科，包括系统设计、控制工程、移动机器人技术和机器学习，每个学科都有多个应用方面。使用PlatypOUs平台和模拟器为学生和自学人员提供了第一手实践机会，并教会他们以专业而有趣的方式处理复杂的工程问题。
