Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation
Chunlin Chen, Tiaojun Xiao
DOI: 10.4236/ica.2011.22009   PDF    HTML     5,511 Downloads   9,085 Views   Citations


In this paper, a probabilistic fuzzy approach is proposed for mobile-robot reactive navigation using range sensors. The primary motivation is an integrated reactive navigation control system with good real-time performance under uncertainty. To accomplish this aim, a probabilistic fuzzy logic system (PFLS) is introduced to range measurement and reactive navigation in local environments. PFLS is first adopted to handle the fuzzy and stochastic uncertainties in range sensors and to provide more precise distance information in unknown environments. Consequently these sensor data are sent to a probabilistic fuzzy rule-based inference system with reactive behaviors for local navigation. The feasibility and effectiveness of the proposed approach are verified by simulation and the experiments on a real mobile robot.

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C. Chen and T. Xiao, "Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation," Intelligent Control and Automation, Vol. 2 No. 2, 2011, pp. 77-85. doi: 10.4236/ica.2011.22009.

Conflicts of Interest

The authors declare no conflicts of interest.


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