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A Novel Real-Time MATLAB/Simulink/LEGO EV3 Platform for Academic Use in Robotics and Computer Science.
Nicolas Montes1, Nuria Rosillo1, Marta C Mora2
1Department of Mathematics, Physics and technological sciences, University CEU Cardenal Herrera, C/San Bartolome 55, CP 46115 Alfara del Patriarca (Valencia), Spain.
Sensors (Basel, Switzerland)
|February 5, 2021
Summary
This study introduces a new real-time educational platform using LEGO EV3 and MATLAB/Simulink for robotics and computer science. It enables students to test and understand various robot path planning algorithms, enhancing practical learning.
Area of Science:
- Robotics and Computer Science Education
- Real-time Systems in Academia
Background:
- Mobile robot platforms are increasingly vital in global education.
- LEGO Mindstorms EV3 and MATLAB/Simulink offer advanced capabilities for real-time applications in teaching and research.
- Existing educational platforms often rely on older LEGO NXT systems.
Purpose of the Study:
- To develop and validate a novel real-time educational platform for robotics and computer science.
- To leverage MATLAB/Simulink and LEGO EV3 for academic teaching and research.
- To provide a versatile tool for exploring robot path planning algorithms.
Main Methods:
- Development of a real-time educational platform integrating MATLAB/Simulink with the LEGO EV3 brick.
- Testing the platform in diverse university teaching scenarios with student-developed projects.
- Implementation and evaluation of classical and novel robot path planning algorithms.
Main Results:
- The platform successfully facilitated the testing of various robot path planning algorithms by undergraduate students.
- Case studies demonstrated the platform's utility in interactive learning projects.
- The study identified the platform's applicability limits for advanced algorithms.
Conclusions:
- The proposed MATLAB/Simulink and LEGO EV3 platform is a valuable tool for real-time robotics and computer science education.
- It effectively supports the teaching and research of robot path planning algorithms.
- The platform offers insights into future educational applications in robotics.
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