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Low computational algorithm for obstacle avoidance in mobile robotics applications
by Nikos Katevas, Stamatis Voliotis, Ioanna Pappa, Eugene Vlachos
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: In this paper, we present a low computational algorithm that implements obstacle avoidance behaviour for wheeled mobile robots. The algorithm exploits one ultrasonic sensor and a set of proximity switches to reach autonomous navigation that may be applied in mobile robotics exploring tasks. The algorithm has been applied on an experimental prototype that uses low cost – low computational components and in a simulation environment. Series of experiments proved the efficiency of the algorithm. Future work targets enhancement of the method to path / target tracking tasks.

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