Autonomous technology saves lives, but this innovative technology requires operators and technicians that are properly trained in the use, maintenance, diagnosis, and repair of these technologies. The Minnesota State Transportation Center of Excellence (TCOE) has been awarded an NSF grant to help address this need for qualified technicians. This will be accomplished through three areas:

As we continue this process, we will utilize the annual MTTIA conference as our primary location for professional development training. The TCOE has used the acquired ISA-TOPE technology to develop multiple outreach videos that can be utilized in various outreach activities throughout the state or beyond. The videos are reusable and can provide a consistent message to students about the level of technology in the diesel, truck, or equipment technician and truck driver programs offered at Minnesota State Colleges. Open Educational Resource Curriculum is being developed for diesel technician and truck driver training related to autonomous technology. This curriculum will be utilized at schools, in conjunction with the acquired technology, to provide students with usable training in technology and real-world applications. The TCOE will continue to collaborate with various industry leading associations (i.e. ASE or AED) and aid in the development of national, industry-recognized, industry-influenced, standards that can lead to certifications for both technicians and students.

VIdeos

Can i borrow that?

Yes! You can borrow our Semi-Tractor and our Track Loader with the BB124 Box Blade Attachment by submitting an equipment request form.

2023 Freightliner 114SD

Caterpillar 259D3

Gallery

Grant Updates

Documents

contact our team

Carl Borleis

Principle Investigator
651-423-8577
[email protected]

Chris Hadfield

Co-Principle Investigator
651-423-8311
[email protected]

Shannon Mohn

Co-Principle Investigator
218-299-6563
[email protected]

Forrest Brownlee

Diesel and Heavy Equipment Instructor
218-293-6862
[email protected]


This material is based in part upon work supported by the National Science Foundation (DUE 2054997). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.