本課程將介紹機器人學與智慧控制相關演算法，並說明如何透過演算法使機器人具有自主學習能力。
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，智慧控制相關演算法內容包括：強化學習。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 algorithms related to robotics and intelligent control, and explain how to use algorithms to enable robots to have autonomous learning capabilities.
This course will introduce the mathematical relationship between robots and space motion and use intelligent control algorithms to make robots more intelligent when making decisions. The content of robotics includes: forward and inverse kinematics of robots, and the content of intelligent control-related algorithms includes: reinforcement learning. Within the entire course structure, students will learn how to program intelligent control algorithms to achieve autonomous robots.
John J. Craig, “Introduction to Robotics: Mechanics and Control,” 3rd edition, Prentice Hall
Richard S. Sutton and Andrew G. Barto, “Reinforcement Learning: An Introduction, ” 2nd edition, The MIT Press Cambridge, Massachusetts London, England
John J. Craig, “Introduction to Robotics: Mechanics and Control,” 3rd edition, Prentice Hall
Richard S. Sutton and Andrew G. Barto, "Reinforcement Learning: An Introduction," 2nd edition, The MIT Press Cambridge, Massachusetts London, England
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
30 | |
| 期末專題期末專題 Final topic |
30 | |
| 作業作業 Homework |
30 | |
| 上課出席狀況上課出席狀況 Class attendance status |
10 |
