List of all ROB courses

Information
4 Credits
Available select Fall terms
Elective

OSU catalog link

Prerequisites
ME 373 or ME 373H
or ECE 353 or CS 331
(recommended)
Contact
Kagan Tumer
541.737.9899
314 Graf Hall

Course Description

Introduction to probabilistic robotics.  Emphasis on localization, mapping, simultaneous localization and mapping, and path planning.

** Please note: ROB 456 was previously taught as ME 456

Topics

  • Probability theory
  • State estimation
  • Mapping
  • Localization
  • SLAM
  • Planning

Learning Outcomes

The student, upon successful completion of this course, will be able to:

  1. Use statistical methods to interpret a robot’s sensor readings
  2. Use localized algorithms to determine a robot’s position
  3. Use modeling algorithms to define a robot’s environment
  4. Use Markov Decision Processes (MDPs) to represent a robot’s decision making