Advisors:

• Brittany Newell
• Samuel Labi
• Richard Voyles

Description:

RoBoat participates in the AIMM ICC competition, where students build an autonomous boat and develop the software to pass the series of challenges given by the competition. This project involves hands on problems, development of the sensor suite for the boat, algorithms capable of autonomizing the boat, including perception, path planning, controls, localization, integration and simulation. 

This experience will provide in-depth learning on important fields like machine learning, artificial intelligence, circuits, mechatronics, and naval engineering, under the fun and excitement of a competition. Offering opportunities for students to delve into hot research topics highly applicable in modern-day technical area related industry. 

Website:

For more information on the competition, visit the website: 

https://www.trine.edu/innovation-one/aimm/index.aspx?_ga=2.32049085.2083888718.1750167314-1593673814.1750167314 

Areas of Interest:

• naval engineering
• autonomous driving and robotics
• design and building of an autonomous boat
• sensor suite, at hardware level and software level
• physical AI
• software development: robot operating system, ML, deep learning, path planning, localization, controls, system dynamics, perception
• artificial intelligence
• machine learning
• maritime maneuvering