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研究生: 聶裕峰
Yu-Feng Nieh
論文名稱: 居家照顧機器人之藥物傳遞系統
Medicine Delivery System of Home Care Robot
指導教授: 李敏凡
Min-Fan Ricky Lee
口試委員: 邱士軒
Shih-Hsuan Chiu
吳秋松
Chiu-sung Wu
學位類別: 碩士
Master
系所名稱: 工程學院 - 自動化及控制研究所
Graduate Institute of Automation and Control
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 84
中文關鍵詞: 自主式移動機器人居家照顧模糊控制目標轉換影像伺服手眼協調
外文關鍵詞: Autonomous mobile robot, home care, fuzzy control, target switching, visual servo, eye-on-hand
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  • 為了增進老年人或身心障礙人士的醫療照顧,近年來自動化居家照顧系統已成為重點研究領域之一。在居家環境中,機器人可能因為傢俱擺放所形成的多死巷地形而無法移動至目標區域,而藥物在藥櫃中的實際位置可能在未知位置。本論文提出居家照顧機器人之藥物傳遞系統來解決上述兩項問題。當發生醫療事件時,居家健康監測系統會啟動居家照顧機器人之藥物傳遞系統。一開始,系統會初始化重要參數並確認目標是否在PTZ攝影機的視野內。 如果目標在視野內,則啟動抓取系統,否則啟動移動系統。移動系統使用模糊控制器及真假目標轉換策略。手臂系統使用基於影像之影像伺服比例控制器。移動系統及手臂系統皆在數個實際場景中驗證。移動系統可以帶領機器人離開多死巷地形並到達目標區域。手臂系統證實可將影像特徵誤差縮減至最小值。所以,移動系統可解決多死巷地形,而手臂系統可以取得目標藥物。


    In order to apply medical care for elder or handicapped people, the automatic home care system becomes an important research area in recent years.
    In home environment, the furniture might form a multiple-dead-end situation to block robot moves to target area and the medicine’s position in the lock might be unknown. This thesis proposed a medicine delivery system of home care robot.
    When a medical event occurs, the home care monitoring system sends a task to home care robot. The system initializes all required parameters, and then checks whether the target is in the PTZ view or not. If target is in the view, the system activates the manipulation system, otherwise activates the mobile system. The mobile system uses Fuzzy logic controller with target switching strategy. The manipulation system uses image-based visual servo controller with P control law.
    The mobile system and the manipulation system are tested through several real scenario experiments. The mobile system can guide robot out of dead-end situation and reach target area. The manipulation system is verified that the feature error can reduce to minima.
    The multiple-dead-end situation can be solved by mobile system and the target can be grabbed by manipulation system.

    ABSTRACT I 中文摘要 II 致謝 III Index IV List of Figures VI List of Tables IX Chapter 1 Introduction 1 1.1 Background 1 1.2 Literature Review 1 1.3 Purpose 3 1.4 Contribution 4 1.5 Structure Configuration of Thesis 4 Chapter 2 Analysis 6 2.1 Fuzzy Logic Controller (FLC) 6 2.1.1 Table-Based 6 2.1.2 Mamdani 7 2.1.3 Takagi-Sugeno 8 2.2 Visual Servo 9 2.2.1 Position-Based Visual Servo (PBVS) 9 2.2.2 Image-Based Visual Servo (IBVS) 10 2.2.3 Summary 10 2.3 Camera Projection Model 11 2.4 Kinematic Model of P3DX 12 2.5 Camera Calibration 14 2.6 PID Controller 14 2.6.1 Proportional term 15 2.6.2 Integral term 16 2.6.3 Derivative term 16 2.6.4 Manual tuning 17 2.6.5 Summary 17 Chapter 3 Methodology 19 3.1 Medicine System Overview 19 3.2 Mobile System 20 3.2.1 Target Switching Strategy 21 3.2.2 Fuzzy Logic Controller 25 3.3 Manipulation System 32 3.3.1 Feature Extraction 33 3.3.2 IBVS P Controller 35 Chapter 4 Experiment 38 4.1 Experiment Equipment 38 4.2 Mobile System Experiment 40 4.2.1 Subspace Situation 40 4.2.2 Multiple-Dead-end Situation 44 4.3 Manipulation Experiment 48 4.3.1 Experiment Result 49 4.3.2 Result Analysis 65 Chapter 5 Conclusion and Feature Work 82 5.1 Conclusion 82 5.2 Feature Work 83 Reference 84

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