Asee peer logo

Autonomous Robot Vehicle: Incorporating Coding and Manufacturing Engineering Concepts in a Freshman Engineering Design Course

Download Paper |

Conference

2018 FYEE Conference

Location

Glassboro, New Jersey

Publication Date

July 24, 2018

Start Date

July 24, 2018

End Date

July 26, 2018

Conference Session

Technical Session V

Tagged Topic

FYEE Conference Sessions

Page Count

4

DOI

10.18260/1-2--31388

Permanent URL

https://peer.asee.org/31388

Download Count

347

Paper Authors

biography

Lunal Khuon Drexel University

visit author page

Dr. Lunal Khuon is an Associate Clinical Professor at Drexel University in the Engineering Technology (ET) Department. He also serves as the Assistant Department Head for Graduate Studies and the Director of Research for the ET Department as well as oversees the Biomedical Engineering Technology concentration. Prior to Drexel, Dr. Khuon had previously held design and system positions at Texas Instruments, Motorola, Hughes, and IBM and faculty positions as an Assistant Professor at Villanova University and Delaware State University and an adjunct Assistant Professor at the University of Pennsylvania. His research interests are in radio frequency and analog integrated circuit design, embedded systems, biomedical electronics, and engineering education. He received his Ph.D. in Electrical Engineering and Computer Science from MIT.

visit author page

biography

M. Eric Carr Drexel University (Eng. & Eng. Tech.) Orcid 16x16 orcid.org/0000-0003-3444-0883

visit author page

Mr. Eric Carr is an Instructor with Drexel University’s Department of Engineering Technology. A graduate of Old Dominion University’s Computer Engineering Technology program and Drexel's College of Engineering, Eric enjoys finding innovative ways to use microcontrollers and other technologies to enhance Drexel’s Engineering Technology course offerings. Eric is currently pursuing a Ph.D in Computer Engineering at Drexel, and is an author of several technical papers in the field of Engineering Technology Education.

visit author page

biography

Yalcin Ertekin Drexel University (Tech.) (MERGED)

visit author page

Dr. Ertekin received his BS degree in mechanical engineering from Istanbul Technical University. He received MS degree in Production Management from Istanbul University. After working for Chrysler Truck Manufacturing Company in Turkey as a project engineer, he received dual MS degrees in engineering management and mechanical engineering from Missouri University of Science and Technology (MS&T), formerly the University of Missouri-Rolla. He worked for Toyota Motor Corporation as a quality assurance engineer for two years and lived in Toyota City, Japan. He received his Ph.D. in mechanical engineering from MS&T in 1999 while he worked as a quality engineer for Lumbee Enterprises in St. Louis, Missouri. His first teaching position was at the architectural and manufacturing Sciences department of Western Kentucky University. He was a faculty at Trine University teaching mainly graduate courses as well as undergraduate courses in engineering technology and mechanical engineering departments. He is currently teaching in Engineering Technology Program at Drexel University. His area of expertise is in CAD/CAM, Computer Numerical Control (CNC) machining, rapid prototyping and quality control. His research interest includes sensor based condition monitoring of CNC machining, machine tool accuracy characterization and enhancement, non-invasive surgical tool design, reverse engineering and bio materials.

visit author page

Download Paper |

Abstract

This work-in-progress paper describes a freshman engineering design course that incorporates coding and manufacturing engineering concepts through an autonomous robot vehicle project. The course itself is part of a three-course engineering design sequence that introduces incoming freshman engineering students to the fundamental concepts of engineering design that will be applied throughout their undergraduate engineering education. The project’s learning objectives are that students will be able to successfully integrate digital and physical design, develop a navigation algorithm, and implement it in Arduino C, in order to allow an autonomous robot vehicle to successfully navigate a course. Students use modern, industry-standard fabrication and prototyping tools in the design process, and demonstrate a working autonomous robot vehicle, including student-designed, 3D-printed protective components. Two faculty instructors with backgrounds in mechanical and manufacturing engineering and electrical and computer engineering team-teach the course and provide a systems approach to design and engineering with specific expertise in different aspects of the course.

Khuon, L., & Carr, M. E., & Ertekin, Y. (2018, July), Autonomous Robot Vehicle: Incorporating Coding and Manufacturing Engineering Concepts in a Freshman Engineering Design Course Paper presented at 2018 FYEE Conference, Glassboro, New Jersey. 10.18260/1-2--31388

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: © 2018 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