Title:

ET Navswarm

Poster

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Abstract

ET NavSwarm is a multidisciplinary team specializing the development of a robotic rover swarm to test algorithms useful for extraterrestrial navigation; namely NASA’s Mars Exploration Program. The goal is to test a particle swarm optimization algorithm utilizing mathematical principles to find the best location of a desired objective, known as a fitness value; The current fitness value being used to evaluate this criteria finding the highest altitude of a simulated area. The algorithm is run on a swarm of 10-20 rugged, autonomous rovers, which are known as the ET NavSwarm, to survey an area on UNH’s Boulder Field to locate this best fitness value.

Authors

First Name Last Name
Dylan Brown
Simon McIntosh
Joseph Lapierre
Zach Hulecki
Nick Miele
Aidan Moore
Dylan Russell
Connor Fleury
Colin Daly
Jaiden Evarts
Ricky Cheng
Tim Vigliotte
Larry Nguyen
Jonathan Ells

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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Mechanical Engineering (ISE)
Group Competition and Club Teams
Added April 25, 2021, 12:31 p.m.
Updated April 25, 2021, 6:21 p.m.
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