教師資料查詢 | 類別: 期刊論文 | 教師: 李世安 Shih-An, Li (瀏覽個人網頁)

標題:Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS
學年106
學期2
出版(發表)日期2018/05/01
作品名稱Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS
作品名稱(其他語言)
著者Shih-An Li; Hsuan-Ming Feng; Sheng-Po Huang; Chen-You Chu
單位
出版者
著錄名稱、卷期、頁數Journal of Imaging Science and Technology 62(3), p.30401-1-30401-11
摘要Fuzzy decision machine (FDM) compared with finite state machine is proposed in this article to verify the appropriate performance on the soccer robot platform. Fuzzy logic with the flexible membership function adaptively produces the robust strategy for real-time reaching the better decision action for soccer robots working in the higher competition environment. This study feeds actual physical parameters into the fuzzy soccer robot system by a Gazebo simulator to ensure the perfect visibility. Therefore, the deployed 3D Gazebo scene for the specific Federation of International Robot-soccer Association (FIRA) RoboSot competition fields is greatly supplied with soccer robots as a friendly support. Moreover, four strategies are inspirited from experts’ experiences to implement the strong fuzzy rules through Robot Operating System (ROS). Fuzzy decision system infers the attacked or defended mode with the respective robot state information to select the near optimal robot action. The primary team’s object is to quickly attack the opponent’s goal when the fighting condition is favorable for the team. In the other case, the tactic is changed to reduce the probability of intercepting by the backswing way. FDM compares with the finite state machine in soccer robot competition fields to verify its availability. This experiment shows that the addressed FDM transforms the expert’s knowhow into appropriate fuzzy rules to improve the winning rates. Therefore, the generated soccer robot system contains the ability to make the best reactions in real time for approaching the desired home goals. The ROS-based system fuzzy adaptive machines embody the faculties to approach the performed strategy in real platform for getting the higher wining rate in the dynamic, complex and uncertain soccer robot competition games.
關鍵字
語言英文(美國)
ISSN1062-3701
期刊性質國外
收錄於SCI;ESCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
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