DRL (Deep Reinforcement Learning) has become a research hotspot in the trajectory planning of robot arms, enabling robots to show behaviors close to humans in tasks such as grasping, opening doors, ...

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 ...

Let’s first take a look at the motion of the mechanism, as shown in the simulation results below. The kinematics for this problem are a little complicated. Recall that we studied these types of ...