Difference between revisions of "Robot Lab (Spring 2007)"

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(Week by Week Breakdown of Lectures)
(Week by Week Breakdown of Lectures)
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[[Assignment 1]] due
[[http://gicl.cs.drexel.edu/wiki/Spring2007RobotLabAssignment1 Assignment 1]] due

Revision as of 18:15, 5 April 2007


Course Logistics

Prerequisites: Permission of instructor.
Class Time: Wednesday 18:00 -> 20:30
Class Location: TBD
Office Hours: TBD
Course Instructors: P. Jay Modi, Ph.D.; William C. Regli, Ph.D.
Instructor Contact: Email regli (at) drexel (DOT) edu (not that this will help keep the spammers away); Phone 215.895.6827; Office: UC 143

Week by Week Breakdown of Lectures

Date Assignment Topic Summary Notes Links and References
April 4

Intro to Robot Lab


April 11
April 18

[Assignment 1] due

April 25
May 2
May 9
May 16
May 23
May 30
June 6


There is no formal text for this class. Course lectures will be augmented with reading materials, technical papers and web materials.

Interested students may wish to examine the following textbooks:

  • J.J. Craig. Introduction to Robotics: Mechanics and Control. Prentice Hall; 3rd edition, 2003.
  • Kiyoshi Toko. Biomimetic Sensor Technology. Cambridge University Press, 2000.
  • Karl Williams. Amphibionics: Build Your Own Biologically Inspired Reptilian Robot. McGraw-Hill/TAB Electronics, 2003.
  • David Cook. Robot Building for Beginners. Apress, 2002.


Students will gain experience with a variety of computational tools, including MATLAB, SolidWorks, Pro/ENGINEER, ACIS, MAPLE, etc. Several research prototype tools may also be introduced for physics-based modeling, kinematics, etc.

Course Objectives and Outcomes

The goal of this class is to build comprehensive engineering models of biologically-inspired robotic systems. Students successfully completing this class will

  1. be able to identify problems resulting from the interdisciplinary interactions in bio-inspired robots;
  2. perform system engineering to design, test and build bio-bots;
  3. be able to apply informatics principles to bio-bot design and testing;
  4. gain experience using a variety of pedagogically appropriate hardware (i.e. Lego Mindstorms, Roombas, etc) and software tools (see above) for robot design/analysis.

Miscellaneous Resources

Wiki page for Winter 2007 Roomba Lab: [1]