Adaptive Exploration
Adaptive Exploration is a methodological framework within autonomous exploration that dynamically adjusts exploration strategies based on real-time environmental feedback and uncertainty estimates to optimize information gain and task efficiency.
114
Publications
4K
Citations
313
Authors
145
Institutions
Publications per year
2017–2026
63
Parents
114
1–5 of 114
313
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145
Carnegie Mellon University
Pittsburgh, United States
6 h-index
16 publications
665 citations
Tongji University
Shanghai, China
3 h-index
11 publications
645 citations
Stanford University
Stanford, United States
2 h-index
4 publications
166 citations
The University of Tokyo
Tokyo, Japan
2 h-index
3 publications
111 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
7 publications
709 citations

Northeastern University
Shenyang, China
2 h-index
4 publications
133 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
1 publications
95 citations

École Nationale Supérieure de Techniques Avancées
Palaiseau, France
2 h-index
3 publications
43 citations
1–8 of 145
Repository · 8 publications · 163 citations
8
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3 publications · 94 citations
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Repository · 2 publications · 40 citations
2
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IJRR · 2 publications · 117 citations
2
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2 publications · 38 citations
2
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1–5