Unknown Environment Navigation
Unknown Environment Navigation is a robotic exploration framework that enables an autonomous agent to traverse and map an environment without prior spatial knowledge, distinguishing itself from other navigation paradigms by its reliance on real-time perception and incremental environmental modeling to make path planning decisions under uncertainty.
459
Publications
21K
Citations
1.4K
Authors
475
Institutions
Publications per year
2017–2026
154
Parents
459
A Tutorial on Graph-Based SLAM
Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss et al. · IEEE Intelligent Transportation Systems Magazine · 2010 · 1.3K citations
A Comprehensive Survey of Visual SLAM Algorithms
A. Barros, Maugan Michel, Yoann Moline et al. · Robotics · 2022 · 403 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
11 h-index
35 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
22 publications
2.5K citations
ETH Zurich
Zurich, Switzerland
8 h-index
17 publications
1.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
7 h-index
12 publications
605 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
791 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
23 publications
1.6K citations
National Institute of Technology Rourkela
Rourkela, India
7 h-index
14 publications
375 citations
Technical University of Munich
Munich, Germany
6 h-index
22 publications
1.5K citations
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12 publications · 611 citations
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6 publications · 419 citations
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6 publications · 101 citations
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5 publications · 176 citations
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ARS · 5 publications · 261 citations
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