Algorithm for Position and Path Estimation of Mobile Robot in Dynamic Environment Using Fuzzy Approach

In this paper, we proposed algorithm for position and path estimation of mobile Robot in dynamic environment with the help of fuzzy approach. The application of the combined soft computing approaches are best techniques because of their ability to handle imprecision and uncertainties that are often present in the many real world problem and mobile Robot navigation is one of them. Rules of a Fuzzy Logic Controller (FLC) which a Robot uses to navigate among moving obstacles. The use of a fuzzy logic controller makes the approach easier to handle the uncertainties. A mobile Robot can then use this FLC to navigate in presence of moving obstacles. Fuzzy approach can produce efficient knowledge base of a FLC for controlling the motion of a Mobile Robot among moving obstacles.