Week 12:
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Topic: Natural Language Processing, Computer Vision, & Robotics

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Objectives:

• Define and give examples of Natural Language Processing
• Define and give examples of Computer Vision
• Define and give examples of Robotics

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1. Complete your Peer Review.
   
   
2. Complete the "19. Robotics I" and "20. Robotics II" units in the Introduction to Artificial Intelligence course from Udacity:
   1. Sign In to Udacity
   2. Select Introduction to Artificial Intelligence from the Course Catalog
   3. Press the "Take the Class" button
   4. Watch the videos and take the quizzes in the "19. Robotics I" unit.
   5. Watch the videos and take the quizzes in the "20. Robotics II" unit.
   
   Alternatively, download the following ZIP files containing Flash Video files:
   • 19. Robotics I
   • 20. Robotics II
   
   
3. Using the following texts:
   • Artificial Intelligence: A Modern Approach, Third Edition (cited as AIMA)
   • On our best behaviour by Hector Levesque from IJCAI 2013 (cited as LEVESQUE)
   • Motion Planning: The Essentials by Steven M. LaValle from IEEE Robotics & Automation Magazine, Volume 18, Issue 1 (cited as LAVALLE)
   
   Read the following pages:
   • Required: 24 Pages
     

     Order	Topic	Book	Section	Page Numbers	Pages	Presentations
     1.	The State of the Art	AIMA	Section 1.4:	Page 28-29	(2 Pages)
     2.	Natural Language Processing Summary	AIMA	Section 22.5:	Page 882-883	(2 Pages)	Applications
     3.	Natural Language for Communication Summary	AIMA	Section 23.6:	Page 918-919	(2 Pages)	Applications
     4.	Perception Summary	AIMA	Section 24.7:	Page 965	(1 Page)	Applications
     5.	Robotic Perception	AIMA	Section 25.3:	Page 978-986	(9 Pages)
     6.	Robotics Summary	AIMA	Section 25.9:	Page 1010-1011	(2 Pages)
     7.	On our best behaviour	LEVESQUE	IJCAI 2013	Page 1-6	(6 Pages)	New Yorker article

     
     
   • Optional: 10 Pages
     

     Order	Topic	Book	Section	Page Numbers	Pages	Presentations
     1.	Motion Planning: The Essentials	LAVALLE	IEEE Robotics & Automation Magazine, Volume 18, Issue 1	Page 79-89	(10 Pages)

     
     
   Reference: University of California, Berkeley's CS 188: Introduction to Artificial Intelligence (Fall 2005) by Stuart Russell
   Reference: Stanford University's CS221: Artificial Intelligence: Principles and Techniques (Autumn 2012-2013) by Percy Liang
   
   
4. Study for the Final Exam.
   
   
5. Take the Final Exam.
   
   
6. (Optional) Complete the "16. Computer Vision I", "17. Computer Vision II", "18. Computer Vision III", "21. Natural Language Processing", and "22. Natural Language Processing II" units in the Introduction to Artificial Intelligence course from Udacity:
   1. Sign In to Udacity
   2. Select Introduction to Artificial Intelligence from the Course Catalog
   3. Press the "Take the Class" button
   4. (Optional) Watch the videos and take the quizzes in the "16. Computer Vision I" unit.
   5. (Optional) Watch the videos and take the quizzes in the "17. Computer Vision II" unit.
   6. (Optional) Watch the videos and take the quizzes in the "18. Computer Vision III" unit.
   7. (Optional) Watch the videos and take the quizzes in the "21. Natural Language Processing" unit.
   8. (Optional) Watch the videos and take the quizzes in the "22. Natural Language Processing II" unit.
   
   Alternatively, download the following ZIP files containing Flash Video files:
   • (Optional) 16. Computer Vision I
   • (Optional) 17. Computer Vision II
   • (Optional) 18. Computer Vision III
   • (Optional) 21. Natural Language Processing
   • (Optional) 22. Natural Language Processing II
   
   
7. For Future Study:
   • Computer Vision: Algorithms and Applications by Richard Szeliski
   • Planning Algorithms by Steven M. LaValle