This paper presents a review of several works carried out in our Department in recent years in the field of model based predictive control (MBPC) strategies for mobile robot navigation based on soft computing techniques. When a nonlinear model of the robot kinematic is used and unexpected obstacles are considered, a numerical approach is needed to implement these predictive techniques. Several ways of soft computing based implementation of this strategy are presented and compared in the paper and several real experimental results are also shown.
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