Autonomous Environmental Sensing
Autonomous Environmental Sensing is a methodological framework within environmental monitoring robotics that enables robotic systems to independently acquire, process, and interpret environmental data without human intervention, distinguished by its integration of on-board decision-making, adaptive sampling strategies, and real-time sensor fusion for sustained observational autonomy in dynamic natural environments.
79
Publications
4.2K
Citations
358
Authors
130
Institutions
Publications per year
2017–2026
23
79
Using mobile robots to harvest data from sensor fields
Onur Tekdas, Volkan Isler, Jong Hyun Lim et al. · IEEE Wireless Communications · 2009 · 176 citations
Engineering, Environmental Engineering, Robotics Engineering +16
1–5 of 79
358
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130
Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
417 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
19 publications
481 citations
Jet Propulsion Laboratory
Pasadena, United States
4 h-index
7 publications
493 citations
Dublin City University
Dublin, Ireland
4 h-index
19 publications
1.6K citations
California Institute of Technology
Pasadena, United States
3 h-index
7 publications
238 citations

University of Trento
Trento, Italy
3 h-index
6 publications
422 citations

Kyoto University
Kyoto, Japan
2 h-index
7 publications
153 citations

University of Minnesota
Minneapolis, United States
2 h-index
6 publications
620 citations
1–8 of 130
JFR · 3 publications · 462 citations
3
h-index
4 publications · 77 citations
3
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2 publications · 55 citations
2
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2 publications · 272 citations
2
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Repository · 2 publications · 50 citations
2
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1–5