Esquema de control reactivo basado en comportamientos difusos para la navegación de un robot móvil en entornos interiores

Autores/as

DOI:

https://doi.org/10.33571/rpolitec.v16n31a1

Palabras clave:

diseño de control difuso, arquitectura de control basada en comportamientos, robótica móvil, evasión de obstáculos frontales, comportamiento de seguimiento de paredes, inteligencia artificial

Resumen

Este artículo presenta el diseño y la implementación de un esquema de control basado en comportamientos. La construcción del conjunto de comportamientos se basa en el uso de la lógica difusa como medio para materializar el conocimiento de los diseñadores a los comportamientos. El set de comportamiento fue constituido por el seguimiento de pared derecha e izquierda y la evasión de obstáculos. Estos tres comportamientos fueron programadas y coordinadas por un esquema de subsunción o anulación de comportamientos. Las simulaciones de los comportamientos y el diseño del esquema de coordinación fueron probados con experimentos reales utilizando una plataforma robótica móvil. Por último, se presentan los resultados obtenidos donde las acciones de control son ejecutadas por el sistema robótico logrando una navegación segura.

This paper presents the design and implementation of a behavior-based control scheme. The construction of the set of behaviors is based on the use of fuzzy logic as a means for materializing the designer’s knowledge into the behaviors. The behavior set was established by left and right wall following and obstacle avoidance. These three behaviors were programmed and coordinated by a subsumption architecture or behavioral inhibition. Behavior simulations and coordination scheme design were tested by means of real experiments using a mobile robotic platform. Finally, the results are presented, where the control actions are executed by the robotic system achieving a secure navigation.


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Biografía del autor/a

Orlando Zapata-Cortes, Instituto Tecnológico Metropolitano

M. Sc. Facultad de Ingeniería, Instituto Tecnológico Metropolitano

Gustavo Alonso Acosta-Amaya, Politécnico Colombiano Jaime Isaza Cadavid

Ph .D. Facultad de Ingeniería, Politécnico Colombiano Jaime Isaza Cadavid.

Jovani Alberto Jiménez-Builes, Universidad Nacional de Colombia

Ph. D. Facultad de Minas, Universidad Nacional de Colombia

Citas

M. J. Mataric, “Behavior-Based Control: Examples from Navigation, Learning, and Group Behavior,” J. Exp. Theor. Artif. Intell., vol. 9, pp. 323-336, 1997.

C. Ye and D. Wang, “A Novel Navigation Method for Autonomous Mobile Vehicles,” J. Intell. Robot. Syst., vol. 32, no. 4, pp. 361-388, Dec. 2001.

K.-T. Song and J.-Y. Lin, “Behavior Fusion of Robot Navigation Using a Fuzzy Neural Network,” in IEEE InternationalConference on Systems, Man and Cybernetics, 2006. SMC ’06, 2006, vol. 6, pp. 4910-4915.

T. Bräunl, Embedded robotics: mobile robot design and applications with embedded systems ; with 32 tables. Berlin; Heidelberg: Springer, 2008.

H. Wicaksono, A. Pkaskrea, and S. Mitsuji, Application of fuzzy behavior coordination and q learning in robot navigation, Thesis/Dissertation, 2009.

R. A. Brooks, “A robust layered control system for a mobile robot,” IEEE J. Robot. Autom., vol. 2, no. 1, pp. 14-23, 1986.

B. Qing-yong, L. Shun-ming, S. Wei-yan, and A. Mu-jin, “A Fuzzy Behavior-Based Architecture for Mobile Robot Navigation in Unknown Environments,”in International Conference on Artificial Intelligence and Computational Intelligence, 2009. AICI ’09, 2009, vol. 2, pp. 257–261.

A. Adriansyah and S. H. M. Amin, “Knowledge base tuning using genetic algorithm for fuzzy behavior-based autonomous mobile robot,” presented atthe Proceeding of the 9th International Conference on Mechatronics Technology, Kuala Lumpur, 2005, p. ICMT-153.

S. Cui, X. Su, L. Zhao, Z. Bing, and G. Yang, “Study on ultrasonic obstacle avoidance of mobile robot based on fuzzy controller,” in 2010 InternationalConference on Computer Application and System Modeling (ICCASM), 2010, vol. 4, pp. V4-233-V4-237.

S. F. Desouky and H. M. Schwartz, “Genetic based fuzzy logic controller for a wall-following mobile robot,” in American Control Conference, 2009. ACC ’09., 2009, pp. 3555–3560.

Y. Jincong, Z. Xiuping, N. Zhengyuan, and H. Quanzhen, “Intelligent Robot Obstacle Avoidance System Based on Fuzzy Control,” in 2009 1stInternational Conference on Information Science and Engineering (ICISE), 2009, pp. 3812–3815.

S. Parasuraman, V. Ganapathy, and B. Shirinzadeh, “Behavior coordination and selection using situation context-dependent method for behavior basedrobot navigation using AI techniques for real world environments,” in Control Conference, 2004. 5th Asian, 2004, vol. 1, pp. 576–584 Vol.1.

W. Dongshu, Z. Yusheng, and S. Wenjie, “Behavior-based hierarchical fuzzy control for mobile robot navigation in dynamic environment,” in Control andDecision Conference (CCDC), 2011 Chinese, 2011, pp. 2419–2424.

L. Ren, W. Wang, and Z. Du, “A new fuzzy intelligent obstacle avoidance control strategy for wheeled mobile robot,” in 2012 International Conferenceon Mechatronics and Automation (ICMA), 2012, pp. 1732–1737.

S. Thongchai, S. Suksakulchai, D. M. Wilkes, and N. Sarkar, “Sonar behavior-based fuzzy control for a mobile robot,” in 2000 IEEE InternationalConference on Systems, Man, and Cybernetics, 2000, vol. 5, pp. 3532–3537 vol.5.

R. C. Arkin, Behavior-based Robotics. MIT Press, 1998.

Publicado

2020-05-30

Cómo citar

Zapata-Cortes, O., Acosta-Amaya, G. A., & Jiménez-Builes, J. A. (2020). Esquema de control reactivo basado en comportamientos difusos para la navegación de un robot móvil en entornos interiores. Revista Politécnica, 16(31), 9–18. https://doi.org/10.33571/rpolitec.v16n31a1

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Artículos