PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

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.

Authors

  • Melinda Rácz
    Department of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary. Author to whom any correspondence should be addressed.
  • Erick Noboa
    Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.
  • Borsa Détár
    Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.
  • Ádám Nemes
    Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.
  • Péter Galambos
    Antal Bejczy Center for Intelligent Robotics, Óbuda University, Hungary.
  • László Szűcs
    Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.
  • Gergely Márton
  • György Eigner
    Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.
  • Tamás Haidegger
    Antal Bejczy Center for Intelligent Robotics, Óbuda University, Budapest, Hungary.