Active Perception
Active Perception is a paradigm of robotic perception in which a sensing system deliberately controls its sensor configuration and exploratory actions based on internal goals or hypotheses in order to selectively acquire and refine task-relevant information about the environment.
205
Publications
12.4K
Citations
557
Authors
234
Institutions
Publications per year
2017–2026
61
205
R. Bajcsy · Proceedings of the IEEE · 1988 · 801 citations
Reinforcement Learning or Active Inference?
Karl Friston, Jean Daunizeau, Stefan J. Kiebel · PLoS ONE · 2009 · 447 citations · Full text
Abhishek Das, Samyak Datta, Georgia Gkioxari et al. · 2018 · 343 citations
Abhishek Das, Samyak Datta, Georgia Gkioxari et al. · 2018 · 331 citations
1–5 of 205
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United States Air Force Research Laboratory, United States
4 publications · 295 citations
4
h-index
1–5 of 557
234
University of Pennsylvania
Philadelphia, United States
9 h-index
16 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
22 publications
3.6K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
19 publications
445 citations
University of California, Berkeley
Berkeley, United States
5 h-index
12 publications
1.2K citations
University of Sheffield
Sheffield, United Kingdom
5 h-index
18 publications
987 citations

University of Coimbra
Coimbra, Portugal
5 h-index
19 publications
450 citations

KTH Royal Institute of Technology
Stockholm, Sweden
5 h-index
15 publications
430 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
246 citations
1–8 of 234
7 publications · 258 citations
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6 publications · 160 citations
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5 publications · 467 citations
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Repository · 5 publications · 269 citations
5
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4 publications · 410 citations
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