Difference between revisions of "ME/CS 132b, Spring 2012"

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(Course Information)
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== Course Information ==
 
== Course Information ==
 +
 +
=== Prerequisites ===
 +
There are no formal prerequisites for the course. ME 115 ab (Introduction to Kinematics and Robotics) is recommended but not necessary. Students are expected to have basic understanding of linear algebra, probability and statistics. We will review some of the required background materials during the first week of lectures. Besides these, students should have some prior programming experience and know at least one of the following languages: C, Python, or MATLAB. Depending on the background of the class, we will hold tutorials for some of the programming languages to help students get started.
 +
 +
 +
=== Homework Guidelines ===
 +
* On the back of the first page of your homework, write down the number of hours you have spent, including reading. This will help us keep track of the amount of homework and adjust future assignments if necessary.
 +
* Justify your answers. This will help us assign partial credits to your assignment even if the results are incorrect. On the other hand, we will deduct points if only results are shown without the necessary derivations.
 +
* You are encouraged to use professional libraries (such as OpenCV) for reading/writing files and analogous tasks. However, you cannot use functions which the homework implies you have to write yourself.
 +
* You will be given code examples in a few languages (MATLAB, C++, Python), but you are free to use any language with which you are comfortable.
 +
* You are responsible for the parameters you choose. If we give you a “reasonable” value for a parameter that does not appear to work, you should try other values.
 +
 +
'''For electronic submissions (including your code)''':
 +
* Package code, data, and answers in a single .zip or .tgz file.
 +
* Upload the writeup as a single file to the course server. Do not upload multiple files for different parts of the writeup. The file must not be in proprietary formats (e.g. MS Word, Mathematica notebook). We recommend using PDF format to guarantee portability.
 +
* Separate code & commentary: do not write your discussion/derivation in the source files, but in a separate report file, clearly labeled as such.
 +
* Include instructions/scripts that allow reproducing your experiments with relatively little effort. For example, include a script “main.m” that calls the other files.
 +
 +
=== Collaboration Policy ===
 +
Students are encouraged to discuss and collaborate with others on the homework. You are free to discuss general ideas about the problem. However, you should write your own solution to show your own understanding of the material. You cannot copy other people's solution as part of your solution. You cannot share code for homework or look at other people’s code. Reading aloud your code does not count as discussion. You are allowed to consult the instructors, the TAs, and/or other students. Outside reference materials can be used except for solutions from prior years or similar courses taught at other universities. Outside materials must be cited if used.
 +
 +
=== Course Texts ===
 +
The required textbook is (also freely available online):
 +
 +
* Steven M. LaValle, [http://planning.cs.uiuc.edu/ ''Planning Algorithms''], Cambridge University Press, 2006.
  
 
== Lecture Notes ==
 
== Lecture Notes ==
  
 
== Homework ==
 
== Homework ==

Revision as of 20:28, 3 April 2012

Advanced Robotics: Navigation and Vision

Instructors

  • Larry Matthies (coordinator), lhm@jpl.nasa.gov
  • Roland Brockers, Adnan Ansar, Yang Cheng, Nick Hudson, Tom Howard, Yoshi Kuwata, Jeremy Ma
  • Lectures: Tue/Thu, 1-2:30 pm, 306 TOM
  • Office hours: by appointment

Teaching Assistants (me132-tas@caltech.edu)

  • Scott Livingston, Stephanie Tsuei
  • Office hours: TBD

Course Mailing List: me132-students@caltech.edu (sign up)

Announcements

Course Information

Prerequisites

There are no formal prerequisites for the course. ME 115 ab (Introduction to Kinematics and Robotics) is recommended but not necessary. Students are expected to have basic understanding of linear algebra, probability and statistics. We will review some of the required background materials during the first week of lectures. Besides these, students should have some prior programming experience and know at least one of the following languages: C, Python, or MATLAB. Depending on the background of the class, we will hold tutorials for some of the programming languages to help students get started.


Homework Guidelines

  • On the back of the first page of your homework, write down the number of hours you have spent, including reading. This will help us keep track of the amount of homework and adjust future assignments if necessary.
  • Justify your answers. This will help us assign partial credits to your assignment even if the results are incorrect. On the other hand, we will deduct points if only results are shown without the necessary derivations.
  • You are encouraged to use professional libraries (such as OpenCV) for reading/writing files and analogous tasks. However, you cannot use functions which the homework implies you have to write yourself.
  • You will be given code examples in a few languages (MATLAB, C++, Python), but you are free to use any language with which you are comfortable.
  • You are responsible for the parameters you choose. If we give you a “reasonable” value for a parameter that does not appear to work, you should try other values.

For electronic submissions (including your code):

  • Package code, data, and answers in a single .zip or .tgz file.
  • Upload the writeup as a single file to the course server. Do not upload multiple files for different parts of the writeup. The file must not be in proprietary formats (e.g. MS Word, Mathematica notebook). We recommend using PDF format to guarantee portability.
  • Separate code & commentary: do not write your discussion/derivation in the source files, but in a separate report file, clearly labeled as such.
  • Include instructions/scripts that allow reproducing your experiments with relatively little effort. For example, include a script “main.m” that calls the other files.

Collaboration Policy

Students are encouraged to discuss and collaborate with others on the homework. You are free to discuss general ideas about the problem. However, you should write your own solution to show your own understanding of the material. You cannot copy other people's solution as part of your solution. You cannot share code for homework or look at other people’s code. Reading aloud your code does not count as discussion. You are allowed to consult the instructors, the TAs, and/or other students. Outside reference materials can be used except for solutions from prior years or similar courses taught at other universities. Outside materials must be cited if used.

Course Texts

The required textbook is (also freely available online):

Lecture Notes

Homework