Digitized Honors Theses (2002-2017)

Date of Award

5-2015

Document Type

Undergraduate Thesis

Degree Name

BS

Department

Computer Science

Faculty Mentor

Michael Doran, Ph.D.

Advisor(s)

Tom Johnsten, Ph.D., Todd McDonald, Ph.D.

Abstract

The main goal of this project is to explore how AI and Real-Time systems ideas and themes can be explored via the use of the controlled, Real-Time automated race track. This would allow for a system in the robotics lab that is able to explore the complexities and underlying systems of AI and RTS concepts. The idea is to create an infrastructure through Lego NXT robotic systems where students can interact and learn. In order to use NXT, it is necessary to understand that computers, and NXT by extension, can only act upon the commands given to them. Therefore, any commands given to the NXT must account for all possibilities that the connected system may go through. Through this exploration, the hope is to get bright, young students involved and interested in AI, robotics, and computer science by creating an environment that is easy to understand. This is, of course, compared to a more traditional learning environment where a student is just viewing a screen or a board. To this end, the project has been designed as a racetrack that has easy to understand traits as well as related data that can make sense to a wide variety of viewers. Another goal of this project is to provide an interactive means outside parties can learn about robotic lab projects in simple, easy to understand verbiage.

Comments

© 2015 Ellis Austin Hicks, ALL RIGHTS RESERVED

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