Smart Remote-Control Vehicle

 

Project Description

To better understand the fundamentals of machine learning, the Aerospace Corp has tasked our team with applying machine learning principles and techniques to develop a model capable of reaching an objective or completing a task. The only underlying constraint was that we do so with a small ground vehicle affectionately named ARIA (A Rather Intelligent Automobile). The ARIA system includes the following features in its design and implementation:

Upon completion of the project, we hope that ARIA will give The Aerospace Corporation a better understanding of what machine learning is, how it can be utilized, and what it can accomplish.

Meeting time: Fridays 1:30-2:30.


Blake Patton - Team Leader, blakepatton13@gmail.com
William Garcia - Documentation Lead, memo05@ymail.com
Karina Martinez - Customer Liaison, Documentation Co-Lead, karinalmartinez93@gmail.com
Calvin Pham - QA Lead/Debugger, calvinthepham@gmail.com
Robin Chan - Software Lead, chryselephant29@outlook.com
Kabir Nagrecha - Machine Learning Consultant, kabir.nagrecha@gmail.com

Student Team
  • Robin Chan
  • William Garcia
  • Karina Martinez
  • Blake Patton
  • Calvin Pham
Project Sponsor
Faculty Advisors