Page 55 - Ingeniantes 511 interactivo

Revista Ingeniantes 2018 Año 5 No. 1 Vol. 1

[3]. Lopez, M. B., Pérez, M. A. A., & Lizarralde, [13]. Demuth, H., & Beale, M. (1993). Neural Ne-
F. (2014). Experimental Results for a LMI-Based twork Toolbox For Use with Matlab--User’S Guide
Fuzzy Visual Servoing Controller Applied in Ro- Version 3.0.
bots Manipulators in 2D. Epsilon, (22), 151-168. [14]. Sivanandam S.N., Sumathi S., Deepa S.N.
[4]. Juang, J. G., Tsai, Y. J., & Fan, Y. W. (2015). (2007). Introduction to fuzzy logic using MATLAB.
Visual recognition and its application to robot arm Springer-Verlag.
control. Applied Sciences, 5(4), 851-880. [15]. Pinckney, N. (2006). Pulse-width modula-
[5]. Kim, H. J., Tanaka, Y., Kawamura, A., tion for microcontroller servo control. IEEE poten-
Kawamura, S., & Nishioka, Y. (2015, July). Impro- tials, 25(1), 27-29.
vement of position accuracy for inflatable robotic [16]. Pololu Corporation: Maestro Servo Con-
arm using visual feedback control method. In Ad- troller. User’s Guide (n.d.) Obtenida de la página
vanced Intelligent Mechatronics (AIM), 2015 IEEE electrónica: https://www.pololu.com/docs/pd-
International Conference on (pp. 767-772). IEEE. f/0J40/maestro.pdf
[6]. Azar, A. T., Ammar, H. H., & Mliki, H. (2018, Agradecimientos
February). Fuzzy Logic Controller with Color Vi- Los autores agradecen el apoyo financiero del
sion System Tracking for Mobile Manipulator Tecnológico Nacional de México para la cons-
Robot. In International Conference on Advanced trucción del brazo robótico 6 GDL, obtenido del
Machine Learning Technologies and Applications proyecto “Módulo didáctico de brazos robots
(pp. 138-146). Springer, Cham. para el equipamiento del laboratorio de robóti-
[7]. Meena, P. K., & Bhushan, B. (2017). Si- ca” bajo el programa de Apoyo a la Investigación
mulation for Position Control of DC Motor using Científica y Desarrollo Tecnológico de los pro-
Fuzzy Logic. International Journal of Electronics, gramas educativos de los Institutos Tecnológicos
Electrical and Computational System, (6), 188- Descentralizados.
191.

[8]. Mirzadeh, M., Haghighi, M., Khezri, S., Ma-
hmoodi, J., & Karbasi, H. (2014). Design Adaptive
Fuzzy Inference Controller for Robot Arm. IJ In-
formation Technology and Computer Science, 9,
66-73.

[9]. Rivai, M., & Purwanto, D. (2015, May). Im-
plementation of fuzzy logic control in robot arm
for searching location of gas leak. In Intelligent
Technology and Its Applications (ISITIA), 2015 In-
ternational Seminar on IEEE (pp. 69-74).

[10]. Wang, M. S. (2018). Eye to hand calibra-
tion using ANFIS for stereo vision-based object
manipulation system. Microsystem Technologies,
24(1), 305-317.

[11]. Ligutan, D. D., Cruz, L. J. S., Del Rosario,
M. C. D., Kudhal, J. N. S., Abad, A. C., & Dadios,
E. P. (2017). Design and implementation of a fuzzy
logic-based joint controller on a 6-DOF robot
arm with machine vision feedback. In Computing
Conference IEEE 2017, (pp. 249-257).

[12]. Zapata S. (2016). Object Tracking with a 2
DOF Robot Arm Using Fuzzy Logic. Consultado
el 10 de abril de 2018, Mathworks: https://la.ma-
thworks.com/matlabcentral/fileexchange/58205-
object-tracking-with-a-2-dof-robot-arm-using-
fuzzy-logic--matlabhw2k16.

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