Fagan, J., & Biegalski, A. (2022, August), Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40923

\bibitem{asee_peer_40923}
  Fagan, J., \& Biegalski, A. (2022, August), \emph{Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--40923

Joshua Fagan and Amy Biegalski.  "Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://strategy.asee.org/40923 Internet.  04 Jul, 2024

\bibitem{asee_peer_40923}
  Joshua Fagan and Amy Biegalski.
  "Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://strategy.asee.org/40923 Internet.  04 Jul, 2024

@INPROCEEDINGS{asee_peer_40923
author = "Joshua Fagan and Amy Biegalski"
title = "Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/40923}
number = {10.18260/1-2--40923}
}

TY  - CPAPER
AB  - Robots are prevalent in introductory engineering courses to facilitate kinesthetic learning. This paper describes a new open-source robotics toolbox and its implementation in an introductory MATLAB programming course for engineers.    The toolbox was designed to allow students to easily and intuitively program small, low-cost, customizable mobile robots using MATLAB. The MATLAB algorithms are converted to Python commands via the MATLAB ROS Toolbox.  
We describe the motivation for selecting the software and robotics platform, examples of the labs and projects implementing the robots, 
the framework of the initial version of the toolbox used in the course, challenges encountered, and the resulting toolbox developed after receiving data and feedback from large scale implementation.
AU  - Joshua Fagan
AU  - Amy Biegalski
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Work-in-Progress: Bridging the Gap Between MATLAB and Python via ROS to Build Skills in an Introductory Programming Course
UR  - https://strategy.asee.org/40923
DO  - 10.18260/1-2--40923
ER  -