Difference between revisions of "ME CS 132 2017"

Revision as of 19:34, 1 January 2017

This is the homepage for ME/CS 132(a,b) (Introduction to Robotic Perception and Navigation) for Winter/Spring 2017.

Course Staff, Hours, Location

• Lecture Schedule: To be determine at the Organizational Meeting

Announcements For ME/CS 132(a.b)

• 01/04/17: The permanent lecture hours and location will be determined at the course organizational meeting.

Course Text and References

1) The main text for the first half of the course is:

• Planning Algorithms by Steve LaValle (UIUC).

You can buy this book on-line at Amazon. A preprint of the text is available freely on-line, and is adequate for all activities of this course. This book provides a comprehensive summary of classical motion planning theory and algorithms. Many of the more advanced topics (e.g., information-space approaches to planning, and evasion-pursuit algorithms) are beyond the immediate scope of this class, but they should be accessible to interested students.

2) The following book is recommended (but not required):

• Principles of Robot Motion: Theory, Algorithms, and Implementations, by Howie Choset, Kevin Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia Kavraki, and Sebastian Thrun.

This text is available at Amazon in both new and used versions.

3) Interested students may wish to also consult the following classic (but now out-of-print) text on motion planning: Robot Motion Planning by J.C. Latombe. A copy is available in the Caltech library.

Course Mechanics, Grading, and Collaboration Policy

Grading

The final grade will be based on homework sets, and a final exam or final project:

• Homework (70%): Homework sets will be handed out every 7-10 days, and are due at 5 pm on the due date (which will always coincide with a class meeting). Homeworks can be dropped off in class, or deposited in the box outside of 245 Gates-Thomas. Some homeworks will require computation. MATLAB or Mathematica should be sufficient to solve every homework posed in this course, though students can choose their favorite programming language. Code is considered part of your solution and should be included in with the problem set when appropriate.

• Final exam/project (30%): Students have the option to take a final exam (a limited time take-home format exam which is open book, open note, and computer allowed) or select a final project. The final project must incorporate some aspect of the course, and the topic and scope my be approved by the course instructor. The final exam will due at 5:00 pm the last day of finals. The final project is similarly due at 5:00 pm on the last day of finals.

• Late Homework Policy: Students may automatically take a 2-day extension on two homeworks during each quarter.

Collaboration Policy

Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the TA, or the instructor, but you must cite any use of material from outside references. All solutions that are handed in should be written up individually and should reflect your own understanding of the subject matter. Computer code and graphical plots are considered part of your solution, and therefore should be done individually (you can share ideas, but not code). No collaboration is allowed on the examinations.

Course Lecture Schedule for ME/CS 132(a)