Multimodal intelligent wheelchair control based on fuzzy algorithm

Jia, Songmin; Jian, Yan; Fan, Jiulun; Li, Xiuzhi; Gao, Liwen

doi:10.1109/icinfa.2012.6246880

Cited by 8 publications

(1 citation statement)

References 10 publications

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“…Jia et al developed a method of fuzzy control of the smart tennis chair using pressure sensors and omnidirectional wheels. The wheelchair can be master of a manual way with joystick device [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation

Omrane

Masmoudi

2016

Computational Intelligence and Neuroscience

110

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This paper describes the design and the implementation of a trajectory tracking controller using fuzzy logic for mobile robot to navigate in indoor environments. Most of the previous works used two independent controllers for navigation and avoiding obstacles. The main contribution of the paper can be summarized in the fact that we use only one fuzzy controller for navigation and obstacle avoidance. The used mobile robot is equipped with DC motor, nine infrared range (IR) sensors to measure the distance to obstacles, and two optical encoders to provide the actual position and speeds. To evaluate the performances of the intelligent navigation algorithms, different trajectories are used and simulated using MATLAB software and SIMIAM navigation platform. Simulation results show the performances of the intelligent navigation algorithms in terms of simulation times and travelled path.

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Section: Introductionmentioning

confidence: 99%