Abstract
In this paper we present an obstacle avoidance control algorithm for mobile robot based on SFLC (simple fuzzy logic controller). With efficient fuzzy logic look-up table to replace the traditional complicated operation. This method has better performance than traditional methods in efficiency. The SFLC output of even a wheel to control direction and speed of obstacle avoidance. Set a number of obstacles on the path in the simulation. And let the robot automatically to the target. Experiments show that the robot has a good obstacle avoidance path and efficiency.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jin, S., Choi, BJ. (2011). Fuzzy Logic System Based Obstacle Avoidance for a Mobile Robot. In: Kim, Th., Adeli, H., Stoica, A., Kang, BH. (eds) Control and Automation, and Energy System Engineering. CES3 CA 2011 2011. Communications in Computer and Information Science, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26010-0_1
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DOI: https://doi.org/10.1007/978-3-642-26010-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-26009-4
Online ISBN: 978-3-642-26010-0
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