Learning-based Visual Servoing
Learning-Based Visual Servoing is a visual servoing approach that employs machine learning techniques to model the control policy or vision-to-action mapping, distinguishing it from traditional model-based methods by leveraging data-driven learning to adapt to uncertainties and complex visual dynamics.
65
Publications
2.1K
Citations
206
Authors
80
Institutions
Publications per year
2017–2026
40
Parents
65
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi, Alexander Toshev, Eric Jang et al. · 2018 · 108 citations
3-D Deformable Object Manipulation Using Deep Neural Networks
Zhe Hu, Tao Han, Peigen Sun et al. · IEEE Robotics and Automation Letters · 2019 · 95 citations
1–5 of 65
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Institut de Recherche en Informatique et Systèmes Aléatoires, France
2 publications · 40 citations
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2
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1–5 of 206
80
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
3 publications
50 citations
Tiangong University
Tianjin, China
3 h-index
8 publications
270 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
195 citations

Chiba University
Chiba, Japan
2 h-index
7 publications
245 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
5 publications
445 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
7 publications
189 citations
The University of Osaka
Osaka, Japan
2 h-index
6 publications
228 citations
Université de Rennes
Rennes, France
2 h-index
5 publications
66 citations
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Repository · 4 publications · 127 citations
4
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4 publications · 309 citations
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2 publications · 51 citations
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2 publications · 54 citations
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2 publications · 57 citations
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