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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