Learning-based Navigation
Learning-Based Navigation is a navigation paradigm within autonomous field navigation that employs machine learning models to acquire navigational policies or behaviors from data, distinguishing itself from traditional rule-based or metric-centric approaches by enabling adaptive decision-making through experience-driven learning.
120
Publications
5K
Citations
408
Authors
145
Institutions
Publications per year
2017–2026
64
Parents
120
Learning View Graphs for Robot Navigation
Matthias Franz, Bernhard Schölkopf, Hanspeter A. Mallot et al. · Autonomous Robots · 1998 · 189 citations
UAV navigation in high dynamic environments: A deep reinforcement learning approach
Tong Guo, Nan Jiang, Biyue Li et al. · Chinese Journal of Aeronautics · 2020 · 162 citations · Full text
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145
Carnegie Mellon University
Pittsburgh, United States
5 h-index
12 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
18 publications
576 citations
The University of Texas at Austin
Austin, United States
4 h-index
12 publications
1.2K citations
Fraunhofer Institute for Production Systems and Design Technology
Berlin, Germany
3 h-index
23 publications
913 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
12 publications
342 citations
Technische Universität Berlin
Berlin, Germany
3 h-index
23 publications
913 citations
National Institute of Standards and Technology
Gaithersburg, United States
3 h-index
13 publications
322 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
366 citations
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Repository · 6 publications · 164 citations
6
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5 publications · 267 citations
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JFR · 4 publications · 250 citations
4
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3 publications · 441 citations
3
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3 publications · 286 citations
3
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