Fall 2017

Fall 2017 Muhammad Rashid Best Project Award winners.

Design of a Fully Autonomous System with a
User-interface Web Platform
Team Members
Everette Petsinger, Taylor Whalen, Kathryn Torre, Winston Riley, Adam Mooers
Faculty Advisor
Dr. Mohamed Khabou
Abstract
The intended goal of this project is to design, build, and test a fully autonomous system with a user-interface web platform. The automated system incorporates all systems required for self-driving including braking, steering, and acceleration. Braking and steering are electromechanically controlled with actuators connected to a real-time management system. There is a GPS system for navigation along a pre-planned route. C.A.R.T., short for Computerized Autonomous Robotic Transportation, aims to provide a more convenient transportation option for urban commuters. Commuters can request and manage rides through a complimentary mobile web app. This project is intended to prevent DUI’s, allow safe travel for handicapped users, and provide personalized transportation routes for busy city travel.

2nd Place

Design of an Autonomous Lawn Mower
Team Members
Kyle Chisum, Evan DeBusk, Corey Stinar, Devin Wisdom
Faculty Advisor
Dr. A. Fuchs
Abstract
The goal of this project is to reduce the annual number of mower blade injuries while minimizing the physical stress required to mow a lawn for at-risk health populations. Along with safety, we believe that there is room for improvement in both quality and price based on comparable autonomous lawn mowers on the market today. To accomplish this goal, a fully autonomous lawn mower capable of navigating a lawn purely with GPS coordinates, derived from an RTK unit, which can maintain safety through multiple sensors was produced.