查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 351949 機器人學實習 1 3.0 3 ★ 張文中電機四甲
電機四乙
電機四丙 12 0 電機四合開，預選限36人。

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	351949	機器人學實習	1	3.0	3	★	張文中	電機四甲電機四乙電機四丙	12	0	電機四合開，預選限36人。

教學大綱與進度：

教師姓名張文中　教師諮商時間(Office Hours)

Email wchang@ntut.edu.tw

最後更新時間 2026-02-03 10:21:50

課程大綱 Robotics Lab (RLab) is offered with all experimental in-class projects, same as its previous version “Robotics and Automation Applications (RAA)”. Compared with Robotics course, this Robotics Lab (RLab) course is offered for undergraduate students with programming experience, but no particular prerequisites, such as Robotics, are required. RLab focuses on projects in the areas of optical inspection, mobile robots, manipulators, visual servoing, and automation. 本課程為全實驗課程，等同於原先「機器人與自動化應用」之新版課程。相較於「機器人學」基礎分析課程，機器人學實習(RLab)屬應用課程、適合具備基礎程式能力的大學生修習，並無機器人學等先修課程要求。課程專題聚焦於光學檢測、移動式機器人、機械手臂、視覺伺服與自動化。

課程進度 Tentative schedule 暫定課程進度週次 Week 單元主題 Topic 1 課程介紹 Course Introduction 2 影像處理實驗: 灰階分類，膨脹與侵蝕處理 Image Processing: Gray-level Classification, Dilation, and Erosion Operations 3 影像處理實驗: 斷開與閉合處理 Image Processing: Opening and Closing Operations 4 光學檢測實驗 Optical Inspection 5 移動式機器人運動學與聲納避障 Mobile Robot Kinematics and Obstacle Avoidance with Sonar 6 移動式機器人之眼在手與眼看手視覺控制實驗 Mobile Robot Control with Eye-in-Hand and Eye-to-Hand Vision 7 移動式機器人建圖 Mobile Robot Mapping 8 移動式機器人導航 Mobile Robot Navigation 9 機械手臂模擬實驗:基本操作 Manipulator Control Simulation: Basic Operations 10 機械手臂模擬實驗:物體拾取與放置 Manipulator Control Simulation: Object Picking and Placing 11 機械手臂控制實驗:物體拾取與放置 I Manipulator Control Experiment: Object Picking and Placing I 12 機械手臂控制實驗:物體拾取與放置 II Manipulator Control Experiment: Object Picking and Placing II 13 期末專題提案及論文簡報 I Final Project Proposals and Paper Presentations I 14 期末專題提案及論文簡報 II Final Project Proposals and Paper Presentations II 15 期末專題提案及論文簡報 III Final Project Proposals and Paper Presentations III 16 期末專題提案及論文簡報 IV Final Project Proposals and Paper Presentations IV 17 期末專題報告及展示 Final Project Demonstrations and Presentations 18 期末專題報告繳交 Final Project Reports Due PS: The contents and order of in-class projects and presentations will be adjusted according to actual needs上述專題與報告內容及順序將因應實際狀況調整

評量方式與標準 The final grade will be a weighted average of attendance and homework 20%, in-class projects 50%, final project (including proposal and presentation) 30%. 學期成績權重比例：出席及作業20%，課程專題50%，期末專題(含提案及簡報) 30%。

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Introduction to Robotics: Mechanics and Control 4th Edition, John J. Craig, Pearson Education.代理商：東華書局/新月圖書，TEL：(02)2311-4027 FAX：(02)2311-6615. Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer by Peter Corke Publication Year: 2013 | ISBN 3642201431 | 1st Edition

課程諮詢管道 Prof. Wen-Chung Chang
(02)27712171 Ext. 2125, wchang@ntut.edu.tw
Office hours: Check official EE website

TAs: Chi-Fu Ho 何基輔 t113318133@ntut.edu.tw、 Shao-Jie Kuo 郭少杰 t114318112@ntut.edu.tw
(02)27712171 Ext. 2130

延伸教學與資源

課程對應SDGs指標 SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

備註 Response to government epidemic alert, course lecture and presentations will be offered online via Microsoft Teams at class hours and recorded lectures are available in iStudy. Please refer to Taipei Tech's iStudy for details about this course. 疫情警戒期間將透過Microsoft Teams線上授課及報告，授課錄影請登入北科i學園+，細節請參照北科i學園+課程公告。

教師姓名	張文中　教師諮商時間(Office Hours)
Email	wchang@ntut.edu.tw
最後更新時間	2026-02-03 10:21:50
課程大綱	Robotics Lab (RLab) is offered with all experimental in-class projects, same as its previous version “Robotics and Automation Applications (RAA)”. Compared with Robotics course, this Robotics Lab (RLab) course is offered for undergraduate students with programming experience, but no particular prerequisites, such as Robotics, are required. RLab focuses on projects in the areas of optical inspection, mobile robots, manipulators, visual servoing, and automation. 本課程為全實驗課程，等同於原先「機器人與自動化應用」之新版課程。相較於「機器人學」基礎分析課程，機器人學實習(RLab)屬應用課程、適合具備基礎程式能力的大學生修習，並無機器人學等先修課程要求。課程專題聚焦於光學檢測、移動式機器人、機械手臂、視覺伺服與自動化。
課程進度	Tentative schedule 暫定課程進度週次 Week 單元主題 Topic 1 課程介紹 Course Introduction 2 影像處理實驗: 灰階分類，膨脹與侵蝕處理 Image Processing: Gray-level Classification, Dilation, and Erosion Operations 3 影像處理實驗: 斷開與閉合處理 Image Processing: Opening and Closing Operations 4 光學檢測實驗 Optical Inspection 5 移動式機器人運動學與聲納避障 Mobile Robot Kinematics and Obstacle Avoidance with Sonar 6 移動式機器人之眼在手與眼看手視覺控制實驗 Mobile Robot Control with Eye-in-Hand and Eye-to-Hand Vision 7 移動式機器人建圖 Mobile Robot Mapping 8 移動式機器人導航 Mobile Robot Navigation 9 機械手臂模擬實驗:基本操作 Manipulator Control Simulation: Basic Operations 10 機械手臂模擬實驗:物體拾取與放置 Manipulator Control Simulation: Object Picking and Placing 11 機械手臂控制實驗:物體拾取與放置 I Manipulator Control Experiment: Object Picking and Placing I 12 機械手臂控制實驗:物體拾取與放置 II Manipulator Control Experiment: Object Picking and Placing II 13 期末專題提案及論文簡報 I Final Project Proposals and Paper Presentations I 14 期末專題提案及論文簡報 II Final Project Proposals and Paper Presentations II 15 期末專題提案及論文簡報 III Final Project Proposals and Paper Presentations III 16 期末專題提案及論文簡報 IV Final Project Proposals and Paper Presentations IV 17 期末專題報告及展示 Final Project Demonstrations and Presentations 18 期末專題報告繳交 Final Project Reports Due PS: The contents and order of in-class projects and presentations will be adjusted according to actual needs上述專題與報告內容及順序將因應實際狀況調整
評量方式與標準	The final grade will be a weighted average of attendance and homework 20%, in-class projects 50%, final project (including proposal and presentation) 30%. 學期成績權重比例：出席及作業20%，課程專題50%，期末專題(含提案及簡報) 30%。
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Introduction to Robotics: Mechanics and Control 4th Edition, John J. Craig, Pearson Education.代理商：東華書局/新月圖書，TEL：(02)2311-4027 FAX：(02)2311-6615. Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer by Peter Corke Publication Year: 2013 \| ISBN 3642201431 \| 1st Edition
課程諮詢管道	Prof. Wen-Chung Chang (02)27712171 Ext. 2125, wchang@ntut.edu.tw Office hours: Check official EE website TAs: Chi-Fu Ho 何基輔 t113318133@ntut.edu.tw、 Shao-Jie Kuo 郭少杰 t114318112@ntut.edu.tw (02)27712171 Ext. 2130
延伸教學與資源
課程對應SDGs指標	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
備註	Response to government epidemic alert, course lecture and presentations will be offered online via Microsoft Teams at class hours and recorded lectures are available in iStudy. Please refer to Taipei Tech's iStudy for details about this course. 疫情警戒期間將透過Microsoft Teams線上授課及報告，授課錄影請登入北科i學園+，細節請參照北科i學園+課程公告。