Inverse kinematics of redundant robots presents a challenging problem for real-time applications due to the lack of uniqueness of solution and the low computational efficiency caused by redundancy and ...
This study investigates the generalization performance of deep learning (DL) models for solving the inverse kinematics (IK) problem in a 2-degrees of freedom (DOF) revolute-prismatic (RP) robotic ...
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