AI與城市機器人

臺北科技大學 114-2 學期課程，課號 359946。

課程大綱

上課地點: 先〇國際研發大樓一樓城市科學實驗室 上課時間: 每周五13:10-16:00 備註: 教學以實作課程為主，選課人數限制20人。 其他要求: 須自備電腦與Python 3的環境 須具備程式語言programming能力 課程介紹 課程將邀請業界專家分享實際案例，幫助學生通過實例理解理論知識，並建立基本的觀念。通過這門課程，學生將具備在城市環境中部署和運行先進機器人協作系統的能力，提升他們在AI和機器人技術領域的專業素養和實踐技能。 This course aims to teach students how to use the physics simulation engine Mujoco for robotic simulation and control while deepening their understanding of control theories such as LQR and PID through hands-on implementation. The course covers the fundamental operations of Mujoco, including environment setup, model creation, and dynamics simulation. Students will also explore state estimation and control strategies for robotic systems. Through practical exercises and projects, students will learn how to leverage Mujoco to test and validate various control algorithms, building a solid foundation for future research or development in robotics.

課程進度

wk1 Introduction wk2 OpenUSD intro wk3 OpenUSD intro wk4 ROS2 intro wk5 ROS2 intro wk6 OpenUSD intro wk7 Software in the loop wk8 Software in the loop wk9 Software in the loop wk10 Software in the loop wk11 IsaacLab wk12 IsaacLab wk13 IsaacLab wk14 IsaacLab wk15 IsaacLab wk16 IsaacLab wk17 IsaacLab wk18 IsaacLab

評量方式

出席率：10% 小考：25% 期末展示：25% 課堂表現：40%

教材

【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：否 本課程使用 自編講義 教材 [1] How to Make (Almost) Anything [2] MAS.863 (2019) , (2020) [3] Final Project