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PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.
Melinda Rácz1,2,3, Erick Noboa4, Borsa Détár4
1Research Centre for Natural Sciences, Eötvös Loránd Research Network, Magyar Tudósok krt. 2., H-1117 Budapest, Hungary.
Sensors (Basel, Switzerland)
|March 26, 2022
Summary
This study introduces PlatypOUs, an open-source mobile robot platform controlled by electromyography (EMG) signals via a brain-computer interface (BCI). It offers a hands-on tool for STEM education, integrating robotics, machine learning, and system design.
Area of Science:
- Robotics and Engineering Education
- Human-Computer Interaction
- Machine Learning Applications
Background:
- Student-driven robotics projects are vital for STEM engagement.
- Open-source platforms facilitate broader participation in engineering and science.
- Brain-computer interfaces (BCIs) offer novel control paradigms.
Purpose of the Study:
- To present the development of PlatypOUs, an open-source mobile robot platform.
- To enable remote robot control using electromyography (EMG) signals.
- To create an accessible tool for STEM education and extracurricular activities.
Main Methods:
- Developed an open-source mobile robot platform (PlatypOUs).
- Integrated a MindRove BCI headset for EMG signal acquisition.
- Utilized a Support Vector Machine (SVM) for bio-signal classification.
- Implemented a virtual simulation environment using Gazebo and ROS.
Main Results:
- Successfully translated classified EMG signals into mobile robot motion commands.
- Created a functional virtual replica of the robot for development and testing.
- Established a comprehensive platform integrating system design, control engineering, and machine learning.
Conclusions:
- PlatypOUs serves as an effective tool for STEM education, enhancing practical learning.
- The platform bridges the gap between theoretical knowledge and real-world engineering challenges.
- It promotes interdisciplinary learning in robotics, machine learning, and control systems.
