Implementation of Navigation Target Seeker Mobile Robot Based on Pattern Recognition with Fuzzy Kohonen Network (FKN) Methods

Aditya P. P. Prasetyo, Katjuk Astrowulan, Ali Fatoni

Abstract


Navigation is a technique for determining the position and direction of travel in the actual environment. This navigation system can be implemented on a mobile robot to accomplish a specific task, in this paper is used in order to navigate the robot can move toward a specific target while avoiding obstacles exist. One of the control techniques used in mobile robot navigation is based on pattern recognition techniques. With a pattern that has been previously implanted in the “brains” of the robot, the mobile robot can take action in accordance with the movement of the pattern. This paper used method of Fuzzy Kohonen Network (FKN) in order to be able to navigate a mobile robot to recognize patterns in the environment. The target used is a specific point designated position using a camera support (GPS Ad-hoc). Based on test results using this method, the obtained results are satisfactory, precisely to the targets and fast search time targets

Keywords


Navigation of Seeker Target;, Pattern Recognition; Fuzzy Kohonen Network; GPS Ad-hoc

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References


Devarajan Dhanya et al. “Distributed Metric Calibration of Ad-Hoc Camera Networks”, ACM Transactions on Sensor Networks, 2006.

Song Kai-Tai dan Huang Shin-Yi, “Mobile Robot Navigation Using Sonar Direction Weights”, IEEE International Conference on Control Applications, 2004.

Siti Nurmaini et. al. “Intelligent Navigation in Unstructured Environment by using Memory-Based Reasoning in Embedded Mobile Robot”, European Journal of Scientific Research, Vol.72 No.2 (2012), pp. 228-244, 2012.




DOI: http://dx.doi.org/10.12962/j23546026.y2015i1.1049

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