Welcome to the web pages for the Fall 2018 offering of CS 3630.

In this class we’ll use the general problem of sensor-based mobile robot navigation to

introduce characteristic problems in robotics
derive mathematical models for those problems
develop algorithms that apply these mathematical models to solve robotics problems
implement and test these algorithms on a small mobile robot

The course is not intended to give in-depth coverage of robotics, but rather to give an overview of the field --- a sort of tasting menu for robotics.

The only formal prerequisite is CS1332 Data Structures & Algorithms. Prior knowledge of fundamentals of linear algebra and probability is helpful, but not required. Background in AI and Machine Learning is not assumed.

The course requires access to a laptop and a mobile device (cell phone or tablet) running Android or iOS. If you don’t have access to these, please contact the instructor ASAP. All programming assignments will be completed in Python.

On these pages, you'll find logistical information about the course, a day-to-day schedule of lecture topics, course assignments, and a description of useful resources for the course (mainly in the form of links to related pages). These pages will be updated frequently throughout the semester, so check back often.

At Georgia Tech, there are many opportunities to attend seminars on robotics-related topics, most of which can be found on the IRIM Seminars site.