Tracked Forestry Research Robot

Tracked Forestry Research Robot

Forests in the Northwest are filled with small, low-diameter trees and brush that are the perfect fuel for forest fires. Using machinery is the best way to clear this brush and reduce wildfire risk, but it has economic drawbacks. This project addresses that issue by having a small form-factor, electric drive, and potential for future independent operation. We are creating a small, remote control, potentially self-driven, machine for better brush clearing. This will ease forest management.

Attend Our Technical Presentation

3:00 p.m. Thursday, April 28 – Session 1

Team Members

Adam  Palmer-Handley - Mechanical Engineering
Matt Farkas - Mechanical Engineering
Ryan Wagner - Computer Science
Micheal Bean - Computer Science
Hayden Willingham - Electrical Engineering
Ethan Reeder - Electrical Engineering

Client/Sponsor

Eric  Wolbrecht - U of I Department of Mechanical Engineering
John Canning - University of Idaho, College of Engineering

Faculty Advisor

Matthew Swenson - U of I Department of Mechanical Engineering