Robot soccer system using cost map algorithm

By: Geraldez, Sharmayne B
Publisher: Cebu City ; CIT-U ; 2013DDC classification: T G311 2013 Summary: Geraldez, Godinez, Pangarungan, Patigayon; College of Computer Studies, Cebu Institute of Technology-University; March 2013; Robot Soccer Team Strategy using Cost Map Algorithm. Adviser: Engr. Chris Jordan G. Aliac The soccer Robot system has set the bar higher in Artificial Intelligence Studies in which attempt is to promote the creation of autonomous system in order to seek foe solutions in many specific problems. Problems including robot coordination, object recognition, motion planning, and many more are challenging predicaments that can be given solution through this study [11]. This paper shows more conventional solution for faster implementation of the whole system. As for image processing , it presented more efficient solution which is to convert colors from RGB to HIS and by using pointer based image process. These methods are essential for the vision system of the research. Cost map algorithm is implemented in the research. The physical activity of the robot itself plays a big role in implementing the system. The robots motions were refined to minimized tendency of falling. Other robot motions were added to satisfy its needed actions in the competition field. The implemented approach and strategies in this research lessen delays caused by complex computations and poor motion implementation; thus, improving the whole system.
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Geraldez, Godinez, Pangarungan, Patigayon; College of Computer Studies, Cebu Institute of Technology-University; March 2013; Robot Soccer Team Strategy using Cost Map Algorithm.
Adviser: Engr. Chris Jordan G. Aliac
The soccer Robot system has set the bar higher in Artificial Intelligence Studies in which attempt is to promote the creation of autonomous system in order to seek foe solutions in many specific problems. Problems including robot coordination, object recognition, motion planning, and many more are challenging predicaments that can be given solution through this study [11]. This paper shows more conventional solution for faster implementation of the whole system. As for image processing , it presented more efficient solution which is to convert colors from RGB to HIS and by using pointer based image process. These methods are essential for the vision system of the research. Cost map algorithm is implemented in the research.
The physical activity of the robot itself plays a big role in implementing the system. The robots motions were refined to minimized tendency of falling. Other robot motions were added to satisfy its needed actions in the competition field. The implemented approach and strategies in this research lessen delays caused by complex computations and poor motion implementation; thus, improving the whole system.

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