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Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing

Sensors

David J. Lary, David Schaefer, John Waczak, Adam Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Sadler, Tatiana Lary and Matthew D. Lary

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Overview

Using a base autonomous robotic team, researchers developed a paradigm that is easily scalable to multi-robot, multi-sensor autonomous teams. This paradigm can rapidly characterize an environment over a period of minutes and develop training data points for training other machine learning algorithms faster than ever before.

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Author Spotlight
Dr. David Lary in a suit in front of computers, vertical. Professor of Physics in the Hanson Center for Space Sciences; Founding Director of MINTS (Multi-Use Multi-scale Integrated Interactive Intelligent Sensing and Simulation in Service of Society); Center for Brain Health Investigator

David Lary, PhD

BrainHealth Investigator Professor of Physics, Hanson Center for Space Sciences Founding Director, MINTS