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研究生: 陳思羽
Szu-Yu Chen
論文名稱: 多機器人足球賽取勝策略設計之模擬研究
Simulation Study of Winning Strategies for Multi-Robot Soccer Game
指導教授: 莊謙本
Chuang, Chien-Pen
學位類別: 碩士
Master
系所名稱: 電機工程學系
Department of Electrical Engineering
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 65
中文關鍵詞: 多機器人機器人足球賽取勝策略
英文關鍵詞: Multi-Robot, Robot Soccer Game, Winning Strategies
論文種類: 學術論文
相關次數: 點閱:124下載:4
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  • 近年來機器人發展迅速,在各方面也已經有很多成功的例子,機器人的發展趨勢也從單一機器人(Single-robot)演變成多機器人(Multi-robot),相較於單一機器人的獨立作業,多機器人具有相互合作的團隊能力以及通訊的功能,而機器人足球賽就是多機器人應用的例子之一。

    本論文使用FIRA機器人足球賽軟體Robot Soccer v1.5a 模擬器將足球機器人模擬實現,探討多機器人在足球賽裡的策略應用,主要目的是在五對五的比賽中,對FIRA足球機器人做取勝策略設計,並以程式模擬實現,以及使用避障機制和應用代克思托演算法(Dijkstra’s algorithm)做最佳路徑規劃,經模擬實驗後,證實所提出之策略可以增加進球效率,並能有效達到目標。

    In the recent years, the development of robots boosts rapidly, and there are many successful examples. The trend of the robots also evolves from Single-robot into Multi-robot. Compared with single-robot’s independent operations, the multi-robot functions with a capacity of mutual cooperation and communication. The robot soccer is a good example among it.
    In this paper, the robot soccer game software, FIRA Robot Soccer v1.5a, is used to simulate the robots in order to investigate the strategy that robots applied in the games. The main purpose of this study is to design a strategy for FIRA soccer robots in the 5 on 5 games, and implement the winning strategies in simulation action. The obstacle avoidance and Dijkstra’s algorithm are used for the optimal path planning. After the experiments, the strategy is confirmed to increase the rates of scoring and achieve the goals effectively.

    中文摘要 i 英文摘要 ii 誌  謝 iii 目 錄 iv 圖 目 錄 vi 表 目 錄 viii 第一章 緒 論 1 1.1 前言 1 1.2 研究背景 1 1.3 研究動機與目的 4 1.4 研究流程 5 1.5 論文架構 6 第二章 相關文獻探討 7 2.1 機器人足球賽發展史 7 2.2 機器人足球賽規則 11 2.2.1 FIRA聯盟 12 2.2.2 RoboCup聯盟 13 2.3 路徑規劃相關研究 15 第三章 研究方法 16 3.1 Robot Soccer v1.5a 模擬器簡介 17 3.2模擬器介面說明 19 3.2.1主要選單 (The Main Menu) 20 3.2.2策略選單 (The Strategies Menu) 21 3.2.3時間/比分選單 (The Time / Score Menu) 22 3.2.4比賽選單 (The In Game Menu) 23 3.2.5重複播放選單 (The Replay Menus) 24 3.2.6裁判選單 (The In Game Menu) 26 3.2.7 足球機器人角色設定 30 3.3 路徑演算法 32 3.3.1代克思托演算法 (Dijkstra’s Algorithm) 32 3.3.2 路徑計算 33 3.4 足球機器人取勝策略設計 36 3.4.1 射門位置與踢球情況分析 36 3.4.2 躲避障礙 40 3.4.3 射門 44 第四章 實驗結果與討論 51 4.1 模擬實驗 51 4.2 實驗結果 51 第五章 結論與展望 61 參考文獻 62 學術成就 65

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