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2021 | 4 | 51--64
Tytuł artykułu

Possibility of Application of the User Interface of a Conventional Smartphone for Communication of Graphical Information with a Special HW/SW Device

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article is focused on enhancement of HW/SW device by cooperation with a smartphone interface. The device was a programmable Lego Mindstorms Education EV3 set in the form of a robot designed to solve the Rubik's Cube. The aim of the research was to replace the built-in color sensor with a camera that would allow the cube scanning process to be accelerated. Two approaches were chosen to meet the goal: the NXTcam camera, accessible as an accessory to expand the set, and the camera built into the smartphone. The use of NXTcam led to better scan time, but this result was prone to external influences. The camera on the smartphone sped up the scanning process to 57% of the original time. The impact of external factors on the outcome was significantly lower, compared to NXTcam. In the experiment, the cube solving process was observed in natural light, with addition distractive light source and in artificial light. (original abstract)
Słowa kluczowe
Rocznik
Tom
4
Strony
51--64
Opis fizyczny
Twórcy
  • Technical University in Zvolen, Slovak Republic
  • Technical University in Zvolen, Slovak Republic
Bibliografia
  • Bell, M., Kelly, J. (2017). LEGO® MINDSTORMS® EV3. Berkeley: Apress. 333 p. ISBN 978-1-4842-2261-4
  • Bevrnja, F., Bevrnja, M., Petrovic, M. (2019). Dynamic analysis, modeling and control of the LEGO EV3 modular mobile platform. Periodicals of Engineering and Natural Sciences. [online] Vol. 7(4), pp. 1868-1878. Available at: http://pen.ius.edu.ba/index.php/pen/article/view/1084 [Accessed 25 Apr. 2021]
  • Božek, P. (2019). Nonlinear modeling of the arm dynamics for the manipulators with reverse sensory validation. International Journal of Advanced Robotic Systems 16(6). [online] Available at: https://journals.sagepub.com/doi/10.1177/1729881419889546 [Accessed 10. Apr. 2021]
  • Crnokić, B., Pehar, F., Spajić, J. (2020). STEM Classroom: Creating a Phyton Application for an EV3 Brick Robotic System Used to Transport 3D Printed Boxes. In: Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''. [online] Vienna: DAAAM International, pp. 88-97. Available at: https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2020/012.pdf [Accessed 29 Apr. 2021]
  • Gilday, D. (2013). How to build MindCub3r for LEGO MINDSTORMS EV3. [online] Available at: http://mindcuber.com/mindcub3r/mindcub3r.html [Accessed 15 Mar. 2021]
  • Harding G. (2018). Programming LEGO® EV3 My Blocks. Berkely: Apress. 136 p. ISBN 978-1-4842-3437-2
  • Hortobágyi. Á. (2018). Kamery a ich využitie v priemysle: Bakalárska práca. Zvolen: Technická univerzita vo Zvolene. Fakulta environmentálnej a výrobnej techniky. 36 p.
  • Hughes, T., Willetts, G., Kryczka, A. (2020). LQG controller for the LEGO MINDSTORMS EV3 Gyroboy Segway robot. IFAC-PapersOnLine. [online] Volume 53(2), pp. 17282-17287. Available at: https://doi.org/10.1016/j.ifacol.2020.12.1811 [Accessed 3 May. 2021]
  • Chen, Q., Chen, Y., Tang,P., Chen, R., Jiang, Z., Deng, A. (2018). Indoor Simultaneous Localization and Mapping for Lego Ev3. In: International Conference on Computer, Communication and Network Technology (CCNT 2018). [online] Lancaster: DEStech Publications, Inc., pp. 500-504. Available at: http://dpi-proceedings.com/index.php/dtcse/article/view/24749 [Accessed 6 May. 2021]
  • Jerry. (2018). Further AI2/EV3 Bluetooth Coding [online] Jander's LEGO® Stuff. Available at: https://r.jander.me.uk/index.php/2018/03/10/further-ai2-ev3-bluetooth-coding/ [Accessed 22. Mar. 2021]
  • Kapitonov, A., et al., (2018). Lego Mindstorms EV3 for teaching the basics of trajectory control problems. In: 2018 IEEE Frontiers in Education Conference (FIE) [online], IEEE, pp. 1-4. Available at: https://ieeexplore.ieee.org/document/8659322 [Accessed 10 May. 2021]
  • Klassner, F., Peyton-Jones, J.C., Lehmer, K. (2012). Genetic Algorithms with Lego Mindstorms and Matlab In: Proceedings Of The Twenty-Fifth International Florida Artificial Intelligence Research Society Conference. [online] California, Palo Alto: AAAI Press. Available at: http://www.csc.villanova.edu/~klassner/pubs/FLAIRS2012-KlassnerPeytonJonesLehmer.pdf [Accessed 11 May 2021]
  • Koch, G. (2020). The LEGO Arduino Cookbook. Berkey: Apress. 234 p. ISBN 978-1-4842-6302-0
  • Lapusan, C., Hancu, O., Rad, C., Dache, L., Maties, V. (2016). Integrated learning platform based on lego NXT and Matlab for teaching mechatronics. In: 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). [online] Yekaterinburg: IEEE, pp. 1-4. Available at: https://ieeexplore.ieee.org/document/7861145 [Accessed 5 May. 2021]
  • Maraj, D., Maraj, A. (2017). Implementation of gesture based applications and communication with Lego Mindstorm EV3, In: 2017 6th Mediterranean Conference on Embedded Computing (MECO) [online], IEEE, pp. 1-4. Available at: https://ieeexplore.ieee.org/document/7977236 [Accessed 9 May. 2021]
  • Matyushchenko, I., Zvereva, E., Lavina, T. (2020). Development of Algorithmic Thinking by Means of Lego Mindstorms Ev3 on Robotics. In: Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). [online] Yekaterinburg: IEEE, pp. 444-447. Available at: https://ieeexplore.ieee.org/document/9117764 [Accessed 7 May. 2021]
  • Mindsensors collective. Vision Subsystem (2016). Camera for NXT or EV3 (NXTCamv4). 2018 [online]. Available at: http://www.mindsensors.com/ev3-and-nxt/14-vision-subsystem-camera-for-nxt-or-ev3-nxtcam-v4 [Accessed 5. Jan. 2021]
  • Montes, N., Rosillo, N., Mora, MC., Hilario, L. (2021) A Novel Real-Time MATLAB/Simulink/LEGO EV3 Platform for Academic Use in Robotics and Computer Science. Sensors, [online] Volume 21(3), p. 1006. Available at: https://doi.org/10.3390/s21031006 [Accessed 5 May. 2021]
  • Montés, N., Rosillo, N., Mora, M., C., Hilario, L. (2019). Real-Time Matlab-Simulink-Lego EV3 Framework for Teaching Robotics Subjects. In: Lepuschitz W., Merdan M., Koppensteiner G., Balogh R., Obdržálek D. (eds) Robotics in Education. RiE 2018. Advances in Intelligent Systems and Computing, vol 829. Springer, Cham. [online] pp. 230-240. Available at: https://doi.org/10.1007/978-3-319-97085-1_23 [Accessed 2 May. 2021]
  • Ponce, P., Molina, A., Mata, O., Baltazar, G. (2019). LEGO® EV3 Platform for STEM Education in Elementary School. In: ICEIT 2019: Proceedings of the 2019 8th International Conference on Educational and Information Technology. [online] New York: Association for Computing Machinery, pp. 177-184. Available at: https://dl.acm.org/doi/10.1145/3318396.3318426 [Accessed 4 May. 2021]
  • Pura Vida Apps. (2017). Camera Extension [online]. App Inventor Extensions Available at: https://puravidaapps.com/camera.php [Accessed 22. Mar. 2021]
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  • Valdez, F., Castillo, O., Caraveo, C., Peraza, C. (2019). Comparative Study of the Conventional Mathematical and Fuzzy Logic Controllers for Velocity Regulation. Axioms. [online] Volume 8(2), p. 53. Available at: https://doi.org/10.3390/axioms8020053 [Accessed 9 May. 2021]
  • Voštinár, P., (2020). MakeCode for Lego Mindstorms EV3. International Journal of Online and Biomedical Engineering, [online] Volume 16(4), pp. 42-53. Available at: https://online-journals.org/index.php/i-joe/article/view/17069 [Accessed 2 May. 2021]
  • Zhan, Y., Hsiao, M., S. (2018). A Natural Language Programming Application for Lego Mindstorms EV3. In: 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). [online] IEEE, pp. 27-34. Available at: https://ieeexplore.ieee.org/document/8613631 [Accessed 29 Apr. 2021]
  • Zhang, M., Wan, Y. (2020). Improving learning experiences using LEGO Mindstorms EV3 robots in control systems course. The International Journal of Electrical Engineering & Education, [online]. Available at: https://doi.org/10.1177/0020720920965873 [Accessed 4 May. 2021]
  • appinventor.mit.edu.(2012). Mit App inventor's official website. [online] Available at: http://appinventor.mit.edu/ [Accessed 7. Apr. 2021]
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171633724

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