課程資訊
課程名稱
機器人知覺與學習
ROBOT PERCEPTION AND LEARNING 
開課學期
96-1 
授課對象
電機資訊學院  資訊工程學研究所  
授課教師
王傑智 
課號
CSIE5117 
課程識別碼
922 U3430 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三6,7,8(13:20~16:20) 
上課地點
資105 
備註
限學士班三年級以上
總人數上限:50人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/961PAL 
課程簡介影片
 
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課程概述

Robotics has achieved its
great success to date in the
world of industrial
manufacturing. Robot arms, or
manipulators, comprise a 2
billion dollar industry.
However, these commercial
robots/ manipulators suffer
from a fundamental
disadvantage: lack of
mobility. This course will
cover both science and systems
that allows a mobile robot to
move through a real-world
environment to perform
its tasks, including action,
perception, planning and
learning.  

課程目標
The topics that will be
discussed include:
The
Action-Perception-Cognition Loop,
Locomotion,
Mobile Robot Kinematics,
Dynamics and Control,
Uncertainty,
Sensors and Sensing,
Localization (EKF, Markov),
Mapping (Feature-based,
Grid-based approaches),
Simultaneous Localization and
Mapping (SLAM),
Simultaneous Localization,
Mapping and Moving Object
Tracking (SLAMMOT),
Object & Activity Recognition,
Path Planning,
Cooperative Mobile Robotics,
and Learning.  
課程要求
 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
 
參考書目
The Robotics Primer by Maja J. Mataric, September 2007.
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
Week 1
9/19  Introduction 
Week 2
9/26  Robot Components and Locomotion (Chapters 3,4,5) 
Week 3
10/03  Manipulation and Kinematics (Lecture 3), Perception Part I (Lecture 4) 
Week 4
10/10  國慶紀念日 
Week 5
10/17  Perception I (Chapters 7,8,9): Simple Sensors and Cameras 
Week 6
10/24  Range Sensors and Processing 
Week 7
10/31  Uncertainty and Probabilistic Robotics 
Week 8
11/07  Representation, Localization and Mapping (Chapters 12,19) 
Week 9
11/14  SLAM 
Week 10
11/21  Midterm exam. 
Week 11
11/28  Tracking 
Week 12
12/05  Human Robot Interaction & Monte Carlo Localization 
Week 13
12/12  Object Recognition 
Week 14
12/19  Planning under Uncertainty 
Week 15
12/26  Control Architecture, Behavior Coordination  
Week 16
1/02  DARPA Urban Challenge 
Week 17
1/09  Robot competition (I) 
Week 18
1/16  Robot competition (II)