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Mobile robot path planning based on the fuzzy artificial potential field

Cao Guang-yi

Year
2006
Citations
2

Abstract

The local minimum occurs easily when the robot plans a path with the traditional artificial potential field method.A fuzzy artificial potential field method is presented and a repulsive gain factor K is introduced to the repulsive potential function,which indicates the importance of the obstacles around the robot.The repulsive gain factor K can be adjusted through the fuzzy system.The simulation result shows that the robot can overcome the local minimum effectively and plan a smooth path successfully.

Keywords

Potential fieldMotion planningMobile robotPath (computing)Fuzzy logicRobotField (mathematics)Plan (archaeology)Computer scienceFunction (biology)

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