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The optimal route planning is to seek the most appropriate path for robot to arrive the desired destination smoothly in the shortest time. In this paper, the Tangent method is firstly used to find the shortest moving route. Secondly, the Kalman filtering algorithm is employed to amend the route errors at the kth time during the moving status. Simultaneously, the route for next (k + 1)th time can be...
The self-adaptive robot's navigation and path planning is one of the most important research issues for the intelligent robots in industry. The correct direction and destination for the intelligent mobile robot is regarded that the robot can arrive in the desired destination with an accurate direction. This paper proposes the mobile robot route planning algorithm using two fuzzy logic controllers...
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