McLauchlan, L., & Mehrubeoglu, M., & Durham, J. (2013, June), Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles  Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--22368

\bibitem{asee_peer_22368}
  McLauchlan, L., \& Mehrubeoglu, M., \& Durham, J. (2013, June), \emph{Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles}
  Paper presented at 2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia.
  10.18260/1-2--22368

Lifford McLauchlan, Mehrube Mehrubeoglu, and Jayson Durham.  "Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles".  2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, 2013, June.  ASEE Conferences, 2013.  https://peer.asee.org/22368 Internet.  26 Apr, 2024

\bibitem{asee_peer_22368}
  Lifford McLauchlan, Mehrube Mehrubeoglu, and Jayson Durham.
  "Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles".
  \emph{2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia, 2013, June}.
  ASEE Conferences, 2013.
  https://peer.asee.org/22368 Internet.  26 Apr, 2024

@INPROCEEDINGS{asee_peer_22368
author = "Lifford McLauchlan, Mehrube Mehrubeoglu, and Jayson Durham"
title = "Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles"
booktitle = "2013 ASEE Annual Conference \& Exposition"
year = "2013"
month = "June"
address = "Atlanta, Georgia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/22368}
number = {10.18260/1-2--22368}
}

TY  - CPAPER
AB  - Problem Based Learning Through Modeling and Simulation of Unmanned VehiclesProblem based learning has been shown to increase student excitement and attention which will increasestudent understanding of course material and concepts. With the high cost of large scale underwater,land and air vehicles, the use of modeling and simulation capabilities becomes more important foruniversity programs. Autonomous Unmanned Vehicle (AUV) Workbench was developed as a modelingand simulation environment to enable physics based real time simulation of autonomous vehicles, suchas surface, underwater, land and air. Vehicle missions can also be replayed for further study. Labexercises have been created for the students to illustrate waypoint navigation and control for underwatervehicles. By enabling the student to see the effects of the control algorithm in the simulated actions,Freshman students gain a larger scale understanding of more advanced concepts that they will learn thetheory for during their junior and senior years; thereby allowing the students to gain insights into how thetheory in various undergraduate classes may be used in applications. AUV Workbench simulationenvironment enhances the student’s understanding of modeling systems.
AU  - Lifford McLauchlan
AU  - Mehrube Mehrubeoglu
AU  - Jayson Durham
CY  - Atlanta, Georgia
DA  - 2013/06/23
PB  - ASEE Conferences
TI  - Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles
UR  - https://peer.asee.org/22368
DO  - 10.18260/1-2--22368
ER  -