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研究生: 許凱翔
Hsu, Kai-Xiang
論文名稱: 人形機器人從聚苯乙烯泡沫塑膠切割複雜3D形狀
Cutting Complex 3D Shapes from Styrofoam Using a Humanoid Robot
指導教授: 包傑奇
Jacky Baltes
口試委員: 包傑奇
Jacky Baltes
劉智誠
Liu, Chih-Cheng
林政宏
Lin, Cheng-Hung
口試日期: 2024/07/01
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: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 44
英文關鍵詞: Humanoid robot, Robot precision, Bionic robot
DOI URL: http://doi.org/10.6345/NTNU202400857
論文種類: 學術論文
相關次數: 點閱:60下載:6
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  • The development of industry, coupled with advancements in hardware and software, has significantly propelled the evolution of robots. However, despite the maturing technology in various fields of robotics, the development of humanoid robots still faces considerable challenges. These challenges include technical complexity, limited application scenarios, and high development costs. Most studies indicate that robot grippers are primarily parallel or three-finger grippers, with bionic hands being relatively rare.
    This study aims to evaluate the precision and effectiveness of a bionic hand in performing tasks that are challenging for humans. Specifically, the robot will visually judge the position and orientation of a Styrofoam cutter, grasp the cutter, and then cut desired shapes such as circles, triangles, squares, and the letter 'A'. The precision of the robot’s movements will be assessed by comparing the actual cutting paths with the ideal paths, analyzing the differences in arcs and straight lines.

    Chapter 1 Introduction 1 1.1 Background 1 1.2 Research Aim 2 1.3 Objectives 2 1.4 Structure of the Thesis. 2 Chapter 2 Literature Review 4 2.1 Inverse Kinematics Control 4 2.2 YOLO-v7 7 2.3 Path Generate Algorithm 9 Chapter 3 Methodology 11 3.1 The Robot - THORMANG3 11 3.2 Operating Environment 13 3.3 Visual System 14 3.3.1 YOLOv7 14 3.3.2 Rotate Calculate 15 3.3.3 Platform Distance Initialization 18 3.3.4 Inverse projection 18 3.3.5 Path Generate System 19 3.4 Inverse Kinematics 21 Chapter 4 Results and Discussion 24 4.1 Experiment Setup 24 4.2 Preliminary Tasks 25 4.3 Experimental Result for Cutting Path with Tolerance = 0.1 26 4.4 Experimental Result for Cutting Path with Tolerance = 0.05 31 4.5 Experimental Result for Cutting Path with Tolerance = 0.01 34 Chapter 5 Conclusion and Future Work 38 5.1 Conclusion 38 5.2 Future Work 38 References 40

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