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課程名稱 |
智慧機器人應用與實作 Application and Practical of Intelligent Robot |
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開課學期 |
115-1 |
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授課對象 |
工學院 機械工程學研究所 |
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授課教師 |
郭重顯 |
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課號 |
ME5065 |
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課程識別碼 |
522 U6420 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期五2,3,4(9:10~12:10) |
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上課地點 |
機械104 |
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備註 |
實作地點為機械B119室(機器人實作實驗室)。與何世池合授 總人數上限:30人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
The course entitled “Application and Practical of Intelligent Robot” is a project-based learning (PBL) course, and it aims at cultivating the students with the capability of utilizing the collaborative robot (TM-5) for industry smart automation applications. The composition of this course consists of 2 hours lecture talk and 2 hours hands-on practice. The lecture topics are arranged as follows:
1. Introduction of collaborative robots and their industrial applications
2. Introduction of TM-5 collaborative robot and TM flow HMI
3. 2D robotic computer vision (Eye-in-hand / Eye-to-hand)
4. Machine learning with TM AI+
5. Human-Machine Interface (I) - TMCraft Shell
6. Presentation and review on final project proposal (team)
7. Human-Machine Interface (II) - Python
8. Applications of Generative AI with Robotics (I)
9. Applications of Generative AI with Robotics (II)
10. Human-Machine Interaction (III) - User Interface with NLP/ LLM
11. Applications of Generative AI with Robotics (III)
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課程目標 |
The students are capable of learning:
1. Popular collaborative robots (TM-5)
2. Operative software and tools (TMflow HMI and TMCraft Shell )
3. Entry level AI programming and tools (TM AI+ and Python)
4. Robot operating system (ROS 2)
5. Generative AI with Robotics |
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課程要求 |
Python programming skill |
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預期每週課前或/與課後學習時數 |
3 to 6 hours, depending on topics and individuals |
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Office Hours |
每週一 09:00~12:50 |
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指定閱讀 |
Handouts |
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參考書目 |
Conference and journal papers; open source codes and documents |
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評量方式 (僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Class attendance and participation |
10% |
Lectures and labs are counted |
2. |
Final project proposal presentation |
10% |
Presentation and review on final project proposal (team) |
3. |
Midterm exam |
25% |
Examination on TM robot operation for a specific task (team) |
4. |
Lab exercise achievement |
20% |
All lab topics are counted |
5. |
Final project report |
35% |
Presentation and review on final project outcome and achievement (team) |
- 本校建議 A+ 比例上限為 20% ,非強制規定,授課教師可依課程要求調整,建議必修課程參考。
- 本校採用等第制評定成績,學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考,授課教師可依等第定義調整分數區間。詳見學習評量專區 (連結)。
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針對學生困難提供學生調整方式 |
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上課形式 |
以錄影輔助, 提供學生彈性出席課程方式 |
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作業繳交方式 |
延長作業繳交期限, 學生與授課老師協議改以其他形式呈現 |
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考試形式 |
延後期末考試日期(時間) |
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其他 |
由師生雙方議定 |
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週次 |
日期 |
單元主題 |
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第1週 |
9/11 |
Introduction of collaborative robots and their industrial applications |
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第2週 |
9/18 |
1. Introduction of TM-5 collaborative robot and TM flow HMI
2. 2D robotic computer vision (Eye-in-hand) |
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第3週 |
9/25 |
Mid-Autumn Festival |
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第4週 |
10/2 |
Human-Machine Interface (II) - Python |
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第5週 |
10/9 |
National Day |
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第6週 |
10/16 |
Machine learning with TM AI+ |
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第7週 |
10/23 |
Human-Machine Interface (I) - TMCraft Shell |
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第8週 |
10/30 |
Midterm exam: examination on TM robot operation for a specific task (team) |
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第9週 |
11/6 |
Presentation and review on final project proposal (team) |
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第10週 |
11/13 |
Applications of Generative AI with Robotics (I) |
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第11週 |
11/20 |
Anniversary Sports Day |
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第12週 |
11/27 |
Applications of Generative AI with Robotics (II) |
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第13週 |
12/4 |
Human-Machine Interaction (III) - User Interface with NLP/ LLM |
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第14週 |
12/11 |
Practice |
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第15週 |
12/18 |
Presentation and review on final project (team) |
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第16週 |
12/25 |
Constitution Day |