An optimized fuzzy logic controller for a parallel mechanism rehabilitation robot

Ayas, Mustafa Şinasi; Altaş, İsmail H.; Şahin, Erdinç

doi:10.1109/fuzz-ieee.2015.7338038

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Robot research is a popular scientific research [1][2][3][4] and is undoubtedly to enhance the quality of human life, but in the environment, the wheel structure is not suitable for use in the rugged terrain environment; in [5][6][7], it is very easy to study insects, whether they are moving on flat roads or walking on irregular roads.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Controller Design for Intelligent Robots

Chen

Wang

et al. 2017

Mathematical Problems in Engineering

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This paper presents a fuzzy logic controller by which a robot can imitate biological behaviors such as avoiding obstacles or following walls. The proposed structure is implemented by integrating multiple ultrasonic sensors into a robot to collect data from a realworld environment. The decisions that govern the robot's behavior and autopilot navigation are driven by a field programmable gate array-(FPGA-) based fuzzy logic controller. The validity of the proposed controller was demonstrated by simulating three realworld scenarios to test the bionic behavior of a custom-built robot. The results revealed satisfactorily intelligent performance of the proposed fuzzy logic controller. The controller enabled the robot to demonstrate intelligent behaviors in complex environments. Furthermore, the robot's bionic functions satisfied its design objectives.

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