Abstract
A fuzzy control approach is proposed for controlling a mobile robot by effectively using the static knowledge of a partially-known environment and the dynamic sensor data. To describe the global structure of the static environment, a tangent-graph is first constructed and a sequence of subgoals is generated for guiding the global path direction. During the execution of these subgoals, a motion executor using the concept of fuzzy control evaluates the sensor data and the robot current status, and adjusts the moving speed and direction of the robot.<>

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