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Behaviour rule selection using alpha-level FIS for mobile robot navigation during multiple rule conflicts in complex environments.

, , and . Int. J. Autom. Control., 1 (4): 358-376 (2007)

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Mobile robot navigation: neural Q-learning., and . Int. J. Comput. Appl. Technol., 44 (4): 303-311 (2012)Multiple sensors data integration using MFAM for mobile robot navigation., , and . IEEE Congress on Evolutionary Computation, page 2421-2427. IEEE, (2007)Robot Assisted Stroke Rehabilitation: Joint Torque/Force Conversion from EMG Using SA Process., , and . ICIRA (2), volume 6425 of Lecture Notes in Computer Science, page 612-623. Springer, (2010)Behaviour rule selection using alpha-level FIS for mobile robot navigation during multiple rule conflicts in complex environments., , and . Int. J. Autom. Control., 1 (4): 358-376 (2007)Behaviour based mobile robot navigation technique for real world environments using fuzzy logic system., , and . SMC (4), page 3359-3364. IEEE, (2004)Mobile Robot Navigation: Neural Q-Learning., , and . ACITY (3), volume 178 of Advances in Intelligent Systems and Computing, page 259-268. Springer, (2012)Genetic Goal Oriented Path Planning Algorithm for Acute Obstacle Avoidance in Mobile Robot Navigation., , and . ICIRA (2), volume 6425 of Lecture Notes in Computer Science, page 624-635. Springer, (2010)Development of robot assisted stroke rehabilitation system of human upper limb., , and . CASE, page 256-261. IEEE, (2009)Mobile Robot Navigation using alpha level fuzzy logic system: Experimental investigations., , and . SMC, page 1878-1884. IEEE, (2008)Fuzzy Terrain-Based Navigation on Urban Terrains., , and . ACITY (3), volume 178 of Advances in Intelligent Systems and Computing, page 249-258. Springer, (2012)