WALL-FOLLOWING BEHAVIOR-BASED MOBILE ROBOT USING PARTICLE SWARM FUZZY CONTROLLER

Authors

  • Andi Adriansyah Departement of Electrical Engineering, Faculty of Engineering, Universitas Mercu Buana
  • Shamsudin H. Mohd. Amin Center of Artificial Intelligent and Robotics (CAIRO), Universiti Teknologi Malaysia

DOI:

https://doi.org/10.21609/jiki.v9i1.367

Keywords:

behavior-based robot, wall-following behavior, fuzzy logic, PSO, PSFC,

Abstract

Behavior-based control architecture has been broadly recognized due to their compentence in mobile robot development. Fuzzy logic system characteristics are appropriate to address the behavior design problems. Nevertheless, there are problems encountered when setting fuzzy variables manually. Consequently, most of the efforts in the field, produce certain works for the study of fuzzy systems with added learning abilities. This paper presents the improvement of fuzzy behavior-based control architecture using Particle Swarm Optimization (PSO). A wall-following behaviors used on Particle Swarm Fuzzy Controller (PSFC) are developed using the modified PSO with two stages of the PSFC process. Several simulations have been accomplished to analyze the algorithm. The promising performance have proved that the proposed control architecture for mobile robot has better capability to accomplish useful task in real office-like environment.

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Published

2016-02-15

How to Cite

Adriansyah, A., & Amin, S. H. M. (2016). WALL-FOLLOWING BEHAVIOR-BASED MOBILE ROBOT USING PARTICLE SWARM FUZZY CONTROLLER. Jurnal Ilmu Komputer Dan Informasi, 9(1), 9–16. https://doi.org/10.21609/jiki.v9i1.367

Issue

Vol. 9 No. 1 (2016): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Section

Articles

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