A learning-based inverse kinematics solver for a multi-segment continuum robot in robot-independent mapping

Keyphrases

• Inverse Kinematics Solution 100%
• Learning-based 100%
• Multi-segment 100%
• Continuum Robot 100%
• Multilayer Perceptron 80%
• Inverse Kinematics 60%
• Simplified Model 40%
• Mean Squared Error 20%
• Infinite number 20%
• Training Data 20%
• Joint Configuration 20%
• Feedforward Neural Network 20%
• Robotics 20%
• Two-segment 20%
• Rigid Connection 20%
• End-effector 20%
• Supervised Learning 20%
• Task Space 20%
• Joint Space 20%
• Robot Configuration 20%
• Mean Relative Error 20%
• Number of Solutions 20%
• End-effector Position 20%
• Denavit-Hartenberg Convention 20%
• Kinematic Redundancy 20%
• Virtual Joint 20%
• Kinematic Equations 20%
• Dual Segments 20%

Engineering

• Inverse Kinematics 100%
• Perceptron 80%
• Joints (Structural Components) 40%
• End Effector 40%
• Fundamental Problem 20%
• Feedforward 20%
• Task Space 20%
• Mean-Squared-Error 20%
• Joint Space 20%
• Rigid Link 20%
• Effector Position 20%
• Desired End 20%
• Infinite Number 20%
• Relative Error 20%