Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning

Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning

This paper describes and demonstrates an autonomous robotic team that can rapidly learn the characteristics of environments that it has never seen before. The flexible paradigm is easily scalable to multi-robot, multi-sensor autonomous teams, and it is relevant to satellite calibration/validation an...

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Bibliographic Details
Main Authors: David J. Lary, David Schaefer, John Waczak, Adam Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Sadler, Tatiana Lary, Matthew D. Lary
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
machine learning
hyper-spectral imaging
robot team
autonomous
UAV
robotic boat
Online Access:https://www.mdpi.com/1424-8220/21/6/2240

Internet

https://www.mdpi.com/1424-8220/21/6/2240

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