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- Title
Application of Type-1 and Type-2 Fuzzy Logic Controller for the Real Swarm Robot.
- Authors
Handayani, Ade Silvia; Husni, Nyayu Latifah; Nurmaini, Siti; Yani, Irsyadi
- Abstract
Navigation is one of the typical problem domains occurred in studying swarm robot. This task needs a special ability in avoiding obstacles. This research presents the navigation techniques using type 1 fuzzy logic and interval type 2 fuzzy logic. A comparison of those two fuzzy logic performances in controlling swarm robot as tools for complex problem modeling, especially for path navigation is presented in this paper. Each hierarchical of fuzzy logic shows its advantages and disadvantages. For testing the robustness of type-1 fuzzy logic and interval type-2 fuzzy logic algorithms, 3 robots for the real swarm robot experiment are used. Each is equipped with one compass sensor, three distance sensors, and one X-Bee communication module. The experimental results show that type-2 fuzzy logic has better performance than type-1 fuzzy logic.
- Subjects
FUZZY logic; AUTONOMOUS robots; FUZZY algorithms; ROBOTS; ROBOT control systems
- Publication
International Journal of Online & Biomedical Engineering, 2019, Vol 15, Issue 6, p83
- ISSN
2626-8493
- Publication type
Article
- DOI
10.3991/ijoe.v15i06.10075