Catalog description
Introduction to state-of-the-art research in robotics. Robot geometries
and kinematics; robot programming languages; dynamics and control;
motion planning; machine vision; parts-feeders and jigs; assembly
planning; sensors and actuators; scheduling; mobile robots.
Prerequisite: None.
Who takes it
Grad students in robotics or related fields, with an interest in
computational aspects of robotics. Advanced undergraduates are welcome
too; talk to instructor.
What it's about
Robotics is an interdisciplinary field, combining aspects of mechanical
engineering, electrical engineering, computer science, mathematics,
biology, psychology, and others. This course offers a broad perspective
of robotics by studying important research papers on a variety of
topics. The purpose is to engage the class in an active, scholarly
discussion about issues in robotics.
We are particularly interested in the following
questions:
- What is robotics? What are the key problems?
- What makes a good research paper? Critical thinking is required
in this course.
- What is left to be done?
- What problems are most interesting to you?
A tentative selection of topics includes:
- Kinematics
- Motion Planning
- Nonholonomic Motion Planning
- Dynamics and Control
- Force Control Manipulation Planning
- Industrial Parts Feeding and Assembly
- Sensors
- Computer Vision
- Artificial Intelligence and Robot Learning
- Behavior-Based Robots
Class Activity - Reading/Discussion:
Reading, understanding, and actively discussing the papers is
the most important facet of this course. Each paper will be assigned
to a student who will initiate the discussion with a 10 minute
presentation of the paper. The presentation may use overhead projector
or blackboard. The presentation should highlight the main points
of the paper, offer a critique, and raise some questions for class
discussion. The presenter is free to call on anybody for his/her
topic for discussion.
Assessment/Evaluation:
In general, the grading would be given upon assessment of student
discussion participation, and homework, there would be no exams.
However, Assessment and Evaluation systems do vary with instructors.
Contact:
Professor: Kevin Lynch
e-mail: kmlynch@northwestern.edu
[ Course
Info | Course
web site ]
|