Potential of LEGO EV3 Mobile Robots

Vokorokos, Liberios; Mihal'ov, Juraj; Chovancová, Eva

doi:10.15546/aeei-2015-0014

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…1. The physical environment will be realized through Lego EV3 bricks [26]. In addition, future implementation will be accompanied by empirical evaluation.…”

Section: Discussionmentioning

confidence: 99%

Gamified Internet of Things Testing within a Virtual Learning Environment — towards the Interactive Simulation Game “IoTCityLab”

Auer¹,

Felderer

2020

2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T)

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The number of connected devices increases continually. The Internet is omnipresent in nearly all areas of daily life, both in private and professional spheres. Humans and institutions are especially concerned about security and usability of the large number of connected objects. This is also a big challenge for professionals in the field of software and hardware testing. They are forced to extend their knowledge to provide quality assurance of connected devices and environments. The qualification requirements are constantly changing. For this reason, the virtual simulation game IoTCityLab will be developed. The target audience are both experienced software testing professionals as also students at universities and vocational trainees who plan a career in the Internet of Things domain. It is a multi-player game in which teams act as in real projects while they will gain experience and knowledge through application. The simulation game is composed of several modules on several approaches of Internet of Things testing. In the first game module the players need to set up a test automation environment for testing an autonomous vehicle in an agile team. In each individual game module the focus is on testing of elements which are part of a smart city infrastructure. Each individual game module focuses on a particular stage of development. By playing the game modules, the players have the opportunity to accompany the proceedings in the implementation of a smart city infrastructure and experience testing and quality assurance in this field interactively.

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“…1. The physical environment will be realized through Lego EV3 bricks [26]. In addition, future implementation will be accompanied by empirical evaluation.…”

Section: Discussionmentioning

confidence: 99%

Gamified Internet of Things Testing within a Virtual Learning Environment — towards the Interactive Simulation Game “IoTCityLab”

Auer¹,

Felderer

2020

2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T)

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“…In [ 38 ], the potential of LEGO EV3 mobile robots in industry is explored, especially as alternatives to human operators in life-threatening professions. A snail robot is constructed based on LEGO Mindstorms EV3 that is capable of climbing up a ladder.…”

Section: Lego Mindstorms: From Kids To Researchersmentioning

confidence: 99%

A Novel Real-Time MATLAB/Simulink/LEGO EV3 Platform for Academic Use in Robotics and Computer Science

Sánchez

Rosillo

Mora

et al. 2021

Sensors

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Over the last years, mobile robot platforms are having a key role in education worldwide. Among others, LEGO Robots and MATLAB/Simulink are being used mainly in universities to improve the teaching experience. Most LEGO systems used in the literature are based on NXT, as the EV3 version is relatively recent. In contrast to the previous versions, the EV3 allows the development of real-time applications for teaching a wide variety of subjects as well as conducting research experiments. The goal of the research presented in this paper was to develop and validate a novel real-time educational platform based on the MATLAB/Simulink package and the LEGO EV3 brick for academic use in the fields of robotics and computer science. The proposed framework is tested here in different university teaching situations and several case studies are presented in the form of interactive projects developed by students. Without loss of generality, the platform is used for testing different robot path planning algorithms. Classical algorithms like rapidly-exploring random trees or artificial potential fields, developed by robotics researchers, are tested by bachelor students, since the code is freely available on the Internet. Furthermore, recent path planning algorithms developed by the authors are also tested in the platform with the aim of detecting the limits of its applicability. The restrictions and advantages of the proposed platform are discussed in order to enlighten future educational applications.

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