Fuzzy Visual Servoing
Fuzzy Visual Servoing is a visual servoing method that employs fuzzy logic to model uncertainties and nonlinearities in the vision-based control loop, thereby enabling robust robot motion regulation under imprecise or incomplete sensory data.
41
Publications
1.2K
Citations
107
Authors
46
Institutions
Publications per year
2017–2026
14
Parents
41
Decoupled Visual Servoing With Fuzzy <i>Q</i>-Learning
Haobin Shi, Xuesi Li, Wei Pan et al. · IEEE Transactions on Industrial Informatics · 2016 · 112 citations
José M. Bengochea-Guevara, Jesús Conesa-Muñoz, Dionisio Andújar et al. · Sensors · 2016 · 69 citations · Full text
Engineering, Agricultural Engineering, Precision Agriculture +17
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46

National Sun Yat-sen University
Kaohsiung City, Taiwan
4 h-index
4 publications
239 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
13 publications
801 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
11 publications
208 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
8 publications
180 citations
Centre for Automation and Robotics
Arganda, Spain
3 h-index
11 publications
376 citations
National University of Tainan
Tainan City, Taiwan
2 h-index
2 publications
49 citations
Bilecik Şeyh Edebali Üniversitesi
Bilecik, Türkiye
2 h-index
2 publications
51 citations

National Taipei University of Technology
Taipei, Taiwan
2 h-index
4 publications
42 citations
1–8 of 46
TFS · 5 publications · 223 citations
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ARS · 2 publications · 38 citations
2
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2 publications · 36 citations
2
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2 publications · 30 citations
2
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Conference · 2 publications · 21 citations
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