Asee peer logo

Introducing Deep Learning on Edge Devices Using A Line Follower Robot

Download Paper |

Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

CIT Division Technical Session #9

Page Count

13

DOI

10.18260/1-2--41720

Permanent URL

https://peer.asee.org/41720

Download Count

515

Request a correction

Paper Authors

biography

Bassam Alshammari Pittsburg State University

visit author page

Bassam has received his bachelor's degree in Mechatronics Engineering Technology at Purdue University Calumet, Indiana. He is currently pursuing his master's degree at Pittsburg State University in Kansas. He is an instructor at Technical and Vocational Training Corporation in Saudi Arabia.

visit author page

biography

Erik Mayer Pittsburg State University

visit author page

Erik Mayer is a Professor at Pittsburg State University in Kansas where he has been instrumental in forming the Computer and Embedded Systems emphasis in the Electronics Engineering Technology program. His research interests are embedded systems, artificial intelligence, renewable energy, and power electronics. He previously taught at Bowling Green State University in Ohio where he worked with the Electric Vehicle Institute . In addition, he worked at Visteon Corporation designing components for hybrid vehicles. He received his Ph.D. in Engineering Science at the University of Toledo in Ohio.

visit author page

biography

Zachariah Woods Pittsburg State University

visit author page

Zachariah Woods is an Undergraduate at Pittsburg State University majoring in Electrical Engineering Technology with a minor in Automation and an emphasis in Computer and Embedded Systems. He is the president of the IEE at Pittsburg State and, he has professional interest in automation, artificial intelligence, embedded systems, and renewable energy.

visit author page

author page

Austin Smith Pittsburg State University

biography

Estevan Hernandez Pittsburg State University

visit author page

Estevan Hernandez is a student at Pittsburg State University with a major in Electronics Engineering Technology. With an emphasis in Embedded Systems, a minor in Automation, and a minor Mathematics. In addition, he is also a member of Phi Kappa Phi and the National society of leaderships and success.

visit author page

biography

Kevin Birk Pittsburg State University

visit author page

Kevin Birk is a student at Pittsburg State University. He is majoring in Electronics Engineering Technology, has a minor in Automation Controls and an emphasis in Computer & Embedded Systems. Kevin is the president of PSU Combat Robotics, the treasurer of PSU Ham Radio club, and is a team lead for an extracurricular project, The Great Lunar Expedition for Everyone. He is looking to graduate in May of 2023.

visit author page

biography

Trenton Allison

visit author page

My name is Trenton Allison. I am from Fort Scott Kansas. I am the oldest of 3 other siblings. My grandfather was an electrician and inspired me to become an electrical engineer. I am currently studying at Pittsburg State University to obtain the Electrical Engineering Technology Degree with a major in Automation. I am a member of the Pitt State combat robotics club as the secretary.

visit author page

biography

Jacob Brennon Pittsburg State University

visit author page

Jacob Brennon is a student at Pittsburg State University in Kansas where he is pursuing his Bachelor of Science Degree with a major in Electronics Engineering Technology and an emphasis in Automation. He is the secretary of the student chapters of IEEE and ISA at Pittsburg State University.

visit author page

biography

Caleb Chase Pittsburg State University

visit author page

Caleb Chase graduated Pittsburg State University in May 2022 with a Bachelor in Electronics Engineering Technology. His emphasis was in computer and embedded systems, and he has a minor in Computing. He worked closely with Dr. Erik Mayer in many microcontroller programming courses, and he has developed skills in many aspects of electronics.

visit author page

biography

Brandon Kincheloe Pittsburg State University

visit author page

Brandon joined the United States Army as a 14E PATRIOT Missel Defense Operator/Maintainer in 2002. He honorably ETS'ed from the army in 2005. He attained the National Defense Service Medal, Global War on Terrorism Service Medal, and Army Service Ribbon. In 2005, Brandon began his life as a civilian planning on using my GI-Bill for education but decided to enter the general workforce. He worked a number of different jobs such as landscaping and factory work from 2005 to 2009. In 2009, Brandon started working at Wal-Mart. In 2012 he obtained his American Board of Opticianry (ABO) certification. In 2014 he became a student at Fort Scott Community College (FSCC). While there, Brandon was a Phi Theta Kappa (PTK) member, and STEM Club President. He graduated from FSCC in spring of 2018, Summa Cum Laude with my Associates of Science & Pre-Engineering degree. In Fall of 2018, Brandon continued his education at Pittsburg State University (PSU). He majors in Electrical Engineering Technologies with an emphasis in Embedded Systems. While at PSU, Brandon joined the National Society of Leadership and Success (NSLS) and was a member of Pi Kappa Phi (PKP). He attained a number of achievements at PSU such as first place in the 2021 research colloquium undergraduate division featuring my research in deep learning. Brandon specializes in rapid prototyping design techniques such as 3D design and printing and circuit board PCB development cycles. Brandon graduated May 16th of 2022 with many honors including Summa Cum Laude and EET Outstanding Senior 2022.

visit author page

biography

Donna Lenharth Pittsburg State University

visit author page

Donna Lenharth is a Systems Analyst at Names and Numbers in Pittsburg, KS and a
Lecturer in the Engineering Technology department at Pittsburg State University. She
has a Bachelor of Science in Computer Science from the University of Missouri-Rolla
where she graduated Magna Cum Laude. She has worked as a software developer at IBM,
BMC Software, and Textron. While at Textron, she received the Chairman's Award for
Innovation for her work on Future Combat System. Donna was recently awarded a NASA
scholarship through the Kansas Space Grant subaward and is pursuing a Master of
Science in Mathematics.

visit author page

biography

Kailash Chandra Pittsburg State University

visit author page

Kailash Chandra is a Professor at Pittsburg State University in Kansas where he has taught Computer Science and Engineering Technology courses for forty years. His research interests include machine learning, programming languages, and data structures. He previously taught at Quincy University in Illinois. He received his education at Meerut University, Florida Tech, and SUNY Buffalo.

visit author page

Download Paper |

Abstract

An educators' job is to prepare students to work with the latest technology. In the last decade, there has been an increase in the use of deep learning in many applications including self-driving cars and virtual assistants. This paper discusses the teaching of the fundamentals of deep learning in an undergraduate microcontroller which used the TI – RSLK MAX robot which is based on an ARM-based MSP432 microcontroller. In the course, a new concept of deep learning was introduced each week and included hands-on activities. The deep learning portion of the course culminated with a project in which the students were assigned to use deep learning in a line follower robot. In this paper, the students are co-authors and they provided data about their robots. This data was used to assess the effectiveness of the deep learning curriculum.

Alshammari, B., & Mayer, E., & Woods, Z., & Smith, A., & Hernandez, E., & Birk, K., & Allison, T., & Brennon, J., & Chase, C., & Kincheloe, B., & Lenharth, D., & Chandra, K. (2022, August), Introducing Deep Learning on Edge Devices Using A Line Follower Robot Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41720

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2022 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015