Neural network-assisted robotic vision system for industrial applications

DOI10.1002/ASJC.2600MaRDI QIDQ6578573

Megha G. Krishnan, Sankar Ashok

Publication date: 25 July 2024

Published in: Asian Journal of Control (Search for Journal in Brave)

zbMATH Keywords

neural networksvisual servoingindustrial robotimage featuresCFBPFFBP

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• Image-Based Control for Aerial Manipulation
• Uncalibrated Image-Based Visual Servoing of Rigid-Link Electrically Driven Robotic Manipulators
• Adaptive Recurrent Neural Network Enhanced Variable Structure Control for Nonlinear Discrete Mimo Systems
• Model Predictive Control for Constrained Image‐Based Visual Servoing in Uncalibrated Environments
• Robotic eye-to-hand coordination: Implementing visual perception to object manipulation
• A comparative study of three artificial neural networks for the detection and classification of gear faults

Related Items (4)

Wavelet CMAC for MIMO uncertain nonlinear systems using a modified social ski-driver algorithm ⋮ The application of hybrid feature based on local mean decomposition for motor imagery electroencephalogram signal classification ⋮ Adaptive visual servoing for the robot manipulator with extreme learning machine and reinforcement learning ⋮ Dual sliding mode coordinated control of manipulator grasping system with visual assistance

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