Motion Navigation and Fuzzy Control of Mobile Robots in Wireless Sensor Networks

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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.


Document Type: Research Article


Publication date: October 1, 2011

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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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