Paper Info
Title
Intelligent visual servoing with extreme learning machine and fuzzy logic.
Abstract
•The pseudoinverse of the interaction matrix, appropriate gain assignment and FOV keeping problems of VS are considered.•An intelligent IBVS system using extreme learning machine and fuzzy logic is proposed to solve these problems in a single system.•Initial velocity continuity and increased manipulability with fast converge in velocity limits are provided.•The classical and the proposed IBVS system are simulated under bad camera calibration and noise as practical disturbances.•Redefined analytical VS metrics verified the achievements of the proposed system.
Year
DOI
Venue
2017
10.1016/j.eswa.2016.10.048
Expert Systems with Applications
Keywords
Field
DocType
Image-based visual servoing,Extreme learning machine,Fuzzy logic
Control theory,Extreme learning machine,Control theory,Computer science,Fuzzy logic,Performance metric,Moore–Penrose pseudoinverse,Robustness (computer science),Camera resectioning,Artificial intelligence,Visual servoing,Machine learning
Journal
Volume
ISSN
Citations 
72
0957-4174
4
PageRank 
References 
Authors
0.45
22
1
Name
Order
Citations
PageRank
Tolga Yüksel1172.53