Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning Article Swipe
David J. Lary
,
D. H. Schaefer
,
John Waczak
,
Adam Aker
,
Aaron Barbosa
,
Lakitha O. H. Wijeratne
,
Shawhin Talebi
,
Bharana Fernando
,
John Z. Sadler
,
Tatiana Lary
,
Matthew Lary
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21062240
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21062240
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 and the creation of new remote sensing data products. A case study is described for the rapid characterisation of the aquatic environment, over a period of just a few minutes we acquired thousands of training data points. This training data allowed for our machine learning algorithms to rapidly learn by example and provide wide area maps of the composition of the environment. Along side these larger autonomous robots two smaller robots that can be deployed by a single individual were also deployed (a walking robot and a robotic hover-board), observing significant small scale spatial variability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s21062240
- https://www.mdpi.com/1424-8220/21/6/2240/pdf?version=1616572069
- OA Status
- gold
- Cited By
- 2
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3136322567
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3136322567Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s21062240Digital Object Identifier
- Title
-
Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine LearningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-23Full publication date if available
- Authors
-
David J. Lary, D. H. Schaefer, John Waczak, Adam Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Z. Sadler, Tatiana Lary, Matthew LaryList of authors in order
- Landing page
-
https://doi.org/10.3390/s21062240Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/21/6/2240/pdf?version=1616572069Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/21/6/2240/pdf?version=1616572069Direct OA link when available
- Concepts
-
Robot, Scalability, Computer science, Artificial intelligence, Scale (ratio), Robotics, Human–computer interaction, Real-time computing, Remote sensing, Geography, Database, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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