Due to the random delay of data transmission, unstable checking period and measurement error, wireless sensor network has raised many new problems for localization, navigation and control of mobile objects. A localization and navigation control method of mobile robots based on wireless
sensor networks was proposed in this study and a simulation platform of wireless sensor networks was established to investigate the validation of different control methods on the navigation and control of mobile robots. By means of appropriate state estimator design based on Kalman filter
and controller design based on fuzzy control, an efficacious navigation and control method for mobile robots tracking process were achieved. The results show that the designed state estimator and designed fuzzy controller are able to improve the localization and navigation precision of the
mobile robots and to complete tracking and capturing function to the mobile objects.
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