A Mixed Reality Approach to Undergraduate Robotics Education

John Anderson, Jacky Baltes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Teaching robotics to undergraduate students requires a course framework that allows students to learn about robotics in stages, without being overwhelmed with details. Such a framework must also provide the students with a motivating application environment that challenges them to apply what they have learned. Robotics competitions have proven to be an excellent method for motivating students, so the framework should be portable and robust enough to be used for competitions, and flexible enough to provide a range of environments that can become more challenging as students become more adept. Finally, the framework should provide repeatability and control for evaluating the student's work, as well as for performing research. In this paper, we overview a mixed reality approach that meets these criteria, and describe its use in an advanced undergraduate course.

Original languageEnglish
Title of host publicationProceedings of the 22nd AAAI Conference on Artificial Intelligence, AAAI 2007
PublisherAAAI Press
Pages1979-1980
Number of pages2
ISBN (Electronic)9781577353232
Publication statusPublished - 2007
Externally publishedYes
Event22nd AAAI Conference on Artificial Intelligence, AAAI 2007 - Vancouver, Canada
Duration: 2007 Jul 222007 Jul 26

Publication series

NameProceedings of the 22nd AAAI Conference on Artificial Intelligence, AAAI 2007

Conference

Conference22nd AAAI Conference on Artificial Intelligence, AAAI 2007
Country/TerritoryCanada
CityVancouver
Period2007/07/222007/07/26

ASJC Scopus subject areas

  • Artificial Intelligence

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