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Optimized hybrid decoupled visual servoing with supervised learning
Alireza Rastegarpanah
,
Ali Aflakian
,
Rustam Stolkin
Metallurgy and Materials
Research output
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Contribution to journal
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Article
›
peer-review
231
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Dive into the research topics of 'Optimized hybrid decoupled visual servoing with supervised learning'. Together they form a unique fingerprint.
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Keyphrases
Supervised Learning
100%
Visual Servoing
100%
Hybrid Visual Servoing
100%
Three-dimensional (3D)
40%
Two Dimensional
40%
Image-based
40%
Imperfection
40%
Interaction Matrix
40%
Trajectory Optimization
40%
Position-based Visual Servoing
40%
Local Linear Model Tree (LOLIMOT)
40%
Fuzzy Neural Network
20%
Controller
20%
Visual Features
20%
Rotational Motion
20%
Seven Degrees of Freedom
20%
Convergence Issues
20%
Pseudo-inverse
20%
Image Noise
20%
Camera Field of View
20%
Arm Robot
20%
Noise Parameters
20%
Ill-conditioning
20%
Camera Calibration
20%
Camera Retreat
20%
Camera Parameters
20%
Camera Path
20%
Computer Science
neuro-fuzzy
100%
Supervised Learning
100%
Visual Feature
100%
Fuzzy-Neural System
100%
Image Noise
100%
Rotational Motion
100%
Camera Calibration
100%
Engineering
Two Dimensional
100%
Singularities
100%
Model Tree
100%
Interaction Matrix
100%
Degree of Freedom
50%
Rotational Motion
50%
Robot Arm
50%
Image Noise
50%
Camera Parameter
50%