A Development of Low Cost Wi-Fi Robot for Teaching Aid
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Abstract
A low-cost Wi-Fi robot as a teaching equipment is developed. The robot can be used to teach students in the subjects related to robotics system and internet of things (IoT). A Wi-Fi robot is a robot equipped with a Wi-Fi communication system for connecting to the internet. Integrating the robot with an IoT platform makes the robot able to communicate with other devices. The developed Wi-Fi robot in this study is a three-wheeled robot type. A NodeMCU ESP-12, which is a microcontroller equipped with Wi-Fi module, is applied in the robot. The robot is connected to the Blynk IoT platform and paired to a smartphone. It results in communication between the robot and the smartphone through the internet. The communication is demonstrated by remotely operating the robot using the smartphone. Mechanical structure and electronic wiring of the robot are simple such that the robot is easily built. Moreover, the cost of required components for building the robot is quite cheap as less than USD 20.
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[1]
N. Uddin, “A Development of Low Cost Wi-Fi Robot for Teaching Aid”, INFOTEL, vol. 12, no. 2, pp. 60-66, May 2020.
Section
Electronics
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[4] B. Kehoe, S. Patil, P. Abbeel, and K. Goldberg, “A survey of research on cloud robotics and automation,” IEEE Transactions on automation science and engineering, vol. 12, no. 2, pp. 398–409, 2015.
[5] S.-J. Chung, A. A. Paranjape, P. Dames, S. Shen, and V. Kumar, “A survey on aerial swarm robotics,” IEEE Transactions on Robotics, vol. 34, no. 4, pp. 837–855, 2018.
[6] O. Saha and P. Dasgupta, “A comprehensive survey of recent trends in cloud robotics architectures and applications,” Robotics, vol. 7, no. 3, p. 47, 2018.
[7] M. Wollschlaeger, T. Sauter, and J. Jasperneite, “The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0,” IEEE industrial electronics magazine, vol. 11, no. 1, pp. 17–27, 2017.
[8] G. A. Akpakwu, B. J. Silva, G. P. Hancke, and A. M. Abu-Mahfouz, “A survey on 5g networks for the internet of things: Communication technologies and challenges,” IEEE Access, vol. 6, pp. 3619–3647, 2017.
[9] K. S. Tinani, B. Choithwani, B. Patil, P. Faiyazkhan, and T. Salat, “On data transferring speed among various cloud providers: An experimental study,” International Journal of Statistics and Reliability Engineering, vol. 6, no. 2, pp. 152–161, 2020.
[10] W. Fischer, “Broadcast over internet, HBBTV, OTT, streaming,” in Digital Video and Audio Broadcasting Technology. Springer, 2020, pp. 903–913.
[11] K. Ashton et al., “That ‘internet of things’ thing,” RFID journal, vol. 22, no. 7, pp. 97–114, 2009.
[12] P. Suresh, J. V. Daniel, V. Parthasarathy, and R. Aswathy, “A state of the art review on the internet of things (iot) history, technology and fields of deployment,” in 2014 International conference on science engineering and management research (ICSEMR). IEEE, 2014, pp. 1–8.
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[14] P. Fraisse, C. Agniel, D. Andreu, and J. A. S. de Los Rios, “Teleoperations over an ip network: virtual puma robot,” in IEEE International Conference on Industrial Technology, 2003, vol. 2. IEEE, 2003, pp. 669–674.
[15] D. R. P. Patnaikuni, “A comparative study of Arduino, Raspberry Pi and ESP8266 as IoT development board.” International Journal of Advanced Research in Computer Science, vol. 8, no. 5, pp. 2350- 2352, 2017.
[16] A. Polianytsia, O. Starkova, and K. Herasymenko, “Survey of hardware IoT platforms,” in 2016 Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PICS&T). IEEE, 2016, pp. 152–153.
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[21] A. Jadhav, P. Jadhav, P. Magdum, and K. N. Patil, “Spy robot for military application using Wi-Fi module,” Advancement of Signal Processing and Its Applications, vol. 1, no. 1, pp. 1–5, 2018.
[22] K. A. B. Louis, K. Tarun, T. Teja, and B. S. Kiran, “Intelligence spy robot with wireless night vision camera using android application,” International Journal for Modern Trends in Science and Technology, vol. 3, no. 02, pp. 01–05, 2017.
[23] R. Huang, Y. Zhao, X. Li, Y. Feng, G. Wu, and Z. Li, “Study on fault detection robot for oil-immersed transformer based on Wi-Fi control,” in 2017 Chinese Automation Congress (CAC). IEEE, 2017, pp. 50–55.
[24] W. Wu, “Dc motor parameter identification using speed step responses,” Modelling and Simulation in Engineering, vol. 2012, 2012.
[25] N. Uddin, “Trajectory tracking control system design for autonomous two-wheeled robot,” Jurnal INFOTEL vol. 10, no. 3, pp. 90-97, 2018.
[26] N. Uddin, “A Robot Trajectory Tracking Control System Design Using Pole Domination Approach,” 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, 2018, pp. 506-512.
[27] N. Uddin, “Adaptive Trajectory Tracking Control System of Two-Wheeled Robot,” Journal of Physics: Conference Series, vol. 1373, no. 1, pp. 012052. IOP Publishing, 2019.