TY - GEN
T1 - A Mixed Reality Approach to Undergraduate Robotics Education
AU - Anderson, John
AU - Baltes, Jacky
N1 - Publisher Copyright:
Copyright © 2007, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85167440240
T3 - Proceedings of the 22nd AAAI Conference on Artificial Intelligence, AAAI 2007
SP - 1979
EP - 1980
BT - Proceedings of the 22nd AAAI Conference on Artificial Intelligence, AAAI 2007
PB - AAAI Press
T2 - 22nd AAAI Conference on Artificial Intelligence, AAAI 2007
Y2 - 22 July 2007 through 26 July 2007
ER -