Hybrid Map Representation
Hybrid Map Representation is a type of environment representation that integrates multiple distinct mapping paradigms—such as metric, topological, or semantic representations—into a unified framework, enabling complementary strengths in spatial reasoning, scalability, and interpretability within robotic navigation and geospatial modeling.
39
Publications
1.9K
Citations
104
Authors
61
Institutions
Publications per year
2017–2026
11
Parents
39
Navigation in hybrid metric-topological maps
Kurt Konolige, Eitan Marder-Eppstein, Bhaskara Marthi · 2011 · 122 citations
1–5 of 39
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Massachusetts Institute of Technology, United States
2 publications · 79 citations
2
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Toyota Central Research and Development Laboratories (Japan), Japan
2 publications · 35 citations
2
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1–5 of 104
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ETH Zurich
Zurich, Switzerland
3 h-index
6 publications
225 citations

The University of Sydney
Sydney, Australia
2 h-index
6 publications
384 citations

Harbin Institute of Technology
Harbin, China
2 h-index
3 publications
84 citations
Ritsumeikan University
Kyoto, Japan
2 h-index
6 publications
123 citations

University of British Columbia
Vancouver, Canada
2 h-index
3 publications
245 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
9 publications
362 citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
199 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
69 citations
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IJRR · 3 publications · 130 citations
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1 publications · 25 citations
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1 publications · 50 citations
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Conference · 1 publications · 16 citations
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1 publications · 11 citations
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