ROBOT FOLLOWER PEMBAWA INFUS PASIEN RUMAH SAKIT BERBASIS MIKROKONTROLER

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ibnu sauki
Rian Ferdian

Abstract

This study has the aim of designing a system that can carry intravenous fluids without human assistance, so it does not bother the patient in moving, this system is made of 2 components in the form of hardware where as hardware and software as software media, for hardware will use assistance from Arduino microcontroller, proximity sensor HC-SR04, DC motor, 11,1volt battery. which consists of 3 batteries, to be able to connect hardware, software or software is needed so that they can be connected to each other, the microcontroller used is an Arduino Uno, the system can run with input from the proximity sensor, which will read the position of the object that has been determined by the distance readings from the sensor, if the position of the object is known, the sensor will send input to the Arduino and process the input, after processing the Arduino will issue input which will be received by the L298N Driver where this driver regulates the rotational speed of the DC motor which will also rotate the wheels. so the robot can move and approach the object.

Article Details

How to Cite
[1]
ibnu sauki and R. Ferdian, “ROBOT FOLLOWER PEMBAWA INFUS PASIEN RUMAH SAKIT BERBASIS MIKROKONTROLER”, chipset, vol. 3, no. 01, pp. 58-63, Apr. 2022.
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Articles

References

[1] Dewi Tresna, Yurni Oktarina, Pola Risma, Sari Kartini. 2019. DESAIN ROBOT PENGIKUT MANUSIA SEDERNAHA DENGAN FUZZY LOGIC CONTROLLER. 1: 13-15

[2] Agarwal, P., Gautam, P., Agarwal, A., & Singh, V. (2017). Human follower robot using kinect. International Research Journal of Engineering and Technology, 4(4), 1635-1637.

[3] Pangestu Clara Robert. 2019. RANCANG BANGUN ROBOT PENGANGKUT SAMPAH PINTAR MENGGUNAKAN MIKROKONTROLER. 3(2): 79-84


[4] Dang, Q. K., & Suh, Y. S. (2011, October). Human- following robot using infrared camera. In 2011 11th International Conference on Control, Automation and Systems (pp. 1054-1058). IEEE.

[5] Tai, W. W., Ilias, B., Shukor, S. A., Rahim, N. A., & Markom, M. A. (2019, November). A Study of Ultrasonic Sensor Capability in Human Following Robot System. In IOP Conference Series: Materials Science and Engineering (Vol. 705, No. 1, p. 012045). IOP Publishing.

[6] Peng, W., Wang, J., & Chen, W. (2016, July). Tracking control of human-following robot with sonar sensors. In International Conference on Intelligent Autonomous Systems (pp. 301-313). Springer, Cham.

[7] Yoshimi, T., Nishiyama, M., Sonoura, T., Nakamoto, H., Tokura, S., Sato, H., ... & Mizoguchi, H. (2006, October). Development of a person following robot with vision based target detection. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 5286- 5291). IEEE.

[8] Cu, G., Ang, A. G., Ballesteros, A. R., & Rentoy, J. C. (2013, March). Human following robot using Kinect sensor. In Research Congress (pp. 1-7).

[9] Kim, K. H., Chu, J. U., & Lee, Y. J. (2006, October).
Steering-by-Tether and Modular Architecture for Human- Following Robot. In 2006 SICE-ICASE International Joint Conference (pp. 340-343). IEEE.

[10] Ilias, B., Nagarajan, R., Murugappan, M., Helmy, K., Awang Omar, A. S., & Abdul Rahman, M. A. (2014). Hospital nurse following robot: hardware development and sensor integration. International Journal of Medical Engineering and Informatics, 6(1), 1-13.