The Autonomous AI Assisted Solar Farm Grass Cutter, otherwise known as E-GOAT. The objective of this project is to design and implement a power efficient, functional and prestige Autonomous AI-Assisted Solar Farm Grass Cutter for Duke Energy and Orlando Utility Commission. The solution is expected to improve the accuracy and cost effectiveness with respect to maintaining the land of solar farms while reducing the carbon footprint compared to conventional methods. Using conventional methods, our sponsors have reported that it is very expensive to maintain their solar farms every year. By producing a low-cost solution, they will save a tremendous amount of money and cut down on maintenance and labor costs.

As an interdisciplinary project between three of the following teams: Electrical and Computer Engineering team, responsible for technologies selection, PCB design, and system integration. A Computer Science team dedicated to implementing Robot Operating System that uses a LiDAR system for localization, mapping, and path planning. And finally, a Mechanical Engineering team responsible for the physical design while considering physical limitations, dimensions, and mechanics of the E-GOAT.

Sponsors for this project include; Mark Steiner, Duke Energy, Orlando Utilities Commission