Enhancing robotic manipulator performance through analyzing vibration, identifying deep-learning-based modal parameters, and estimating frequency response functions

Keyphrases

• Accelerometer 33%
• Damping Ratio 33%
• Deep Learning 100%
• Deep Learning Methods 33%
• Feedforward Neural Network 33%
• Frequency Mode 33%
• Frequency Response Function 100%
• Gathering Process 33%
• Hammering Test 66%
• High-resolution 33%
• Machine Learning 33%
• Machining Robot 33%
• Milling Operation 33%
• Modal Parameters 100%
• Modal Stiffness 33%
• Multi-frequency 33%
• Natural Frequency 33%
• Offline Optimization 33%
• Optimization Algorithm 66%
• Posture-dependent 33%
• Prediction Model 33%
• Process Optimization 33%
• Real-time Adjustment 33%
• Robot Configuration 33%
• Robot Manipulator 33%
• Robot Performance 33%
• Robot Posture 33%
• Robot Trajectory 33%
• Robotic Manipulator 100%
• Robotic Milling 33%
• Robotic System 33%
• Suggested Model 33%
• System Analysis 33%
• Vibration Behavior 33%

Engineering

• Damping Ratio ζ 33%
• Deep Learning Method 100%
• Feedforward 33%
• Frequency Response Function 100%
• High Resolution 33%
• Learning System 33%
• Modal Parameter 100%
• Multiple Frequency 33%
• Resonant Frequency 33%
• Rigidity 33%
• Robot 66%
• Robot Manipulator 33%
• Robotic Manipulator 100%
• Robotic System 33%
• Systems Analysis 33%

Material Science

• Accelerometer 100%
• Machining 100%
• Milling 100%
• Robotic Milling 100%