Innovációs szolgáltató bázis létrehozása diagnosztikai, terápiás és kutatási célú
kiberorvosi ren...(2019-1-3-1-KK-2019-00007) Funder: NKFIH
Subjects:
Man Machine interface
Robotics for training
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.
