本課程將介紹機器人與空間運動的數學關係式並透過智慧控制演算法使機器人於決策行動時更具智慧性。機器人學內容包括：機器人的順向、逆向運動學與軌跡規劃，智慧控制相關演算法內容包括：模糊理論、類神經網路與增強式學習。在整個課程架構下，學生將學會如何以程式實現智慧控制演算法來達成自主機器人。This course will introduce the mathematical relationship between robots and space movements and make robots more intelligent when deciding on strategies through intelligent control algorithms. The content of robotics includes: robots' straight, reverse motion learning and spiral planning, and the content of intelligent control-related algorithms includes: fuzzy theory, neural network and enhanced learning. Under the entire course structure, students will learn how to implement intelligent control algorithms in programs to achieve autonomous robots.
John J. Craig, “Introduction to Robotics: Mechanics and Control,” 3rd edition, Prentice Hall
王進德, 類神經網路與模糊控制理論, 全華圖書
John J. Craig, “Introduction to Robotics: Mechanics and Control,” 3rd edition, Prentice Hall
Wang Jinde, Neural Network and Fuzzy Control Theory, Full Chinese Book
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 實作實作 Implement |
25 | |
| 期末考術科期末考術科 Final exams |
30 | |
| 報告報告 report |
25 | |
| 出席出席 Attend |
20 |
