Obstacle-aware Exploration
Obstacle-Aware Exploration is a robotic exploration strategy that systematically integrates real-time obstacle detection and avoidance to enable efficient, safe navigation in unknown, cluttered environments by prioritizing paths that maximize information gain while minimizing collision risk.
19
Publications
1.3K
Citations
65
Authors
28
Institutions
Publications per year
2017–2026
4
Parents
19
The Stanford Cart and the CMU Rover
Hans Moravec · Proceedings of the IEEE · 1983 · 307 citations
How to learn an unknown environment. I
Xiaotie Deng, Tiko Kameda, Christos H. Papadimitriou · Journal of the ACM · 1998 · 161 citations · Full text
How to learn an unknown environment
Xiaotie Deng, Tsunehiko Kameda, Costas Papadimitriou · 2002 · 130 citations
1–5 of 19
65
2
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2
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1
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Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
1 publications · 19 citations
1
h-index
1
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1–5 of 65
28
Carnegie Mellon University
Pittsburgh, United States
3 h-index
11 publications
996 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
548 citations
Simon Fraser University
Burnaby, Canada
2 h-index
3 publications
421 citations
Yale University
New Haven, United States
2 h-index
2 publications
120 citations
Amada (Japan)
Isehara, Japan
1 h-index
5 publications
100 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
161 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
1 publications
61 citations

York University
Toronto, Canada
1 h-index
1 publications
130 citations
1–8 of 28
1 publications · 22 citations
1
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Conference · 1 publications · 129 citations
1
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1 publications · 42 citations
1
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1 publications · 307 citations
1
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JFR · 1 publications · 68 citations
1
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