Research on Stiffness optimization of Robot Grasping System Based on Improved Intelligent Algorithm

Stiffness optimization is a technology aimed at reducing the system stiffness by manipulating its parameters. In this paper, an intelligent algorithm based on adaptive parameter control for strengthening and softening robot grasping system is proposed. The proposed method is applied to grab objects, which can be static or dynamic. In this work, we demonstrate the effectiveness of the algorithm by using the finite element model (FEM) to simulate different types of objects with different sizes and shapes. We also showed how to use our method as an effective tool for designing more powerful capture systems. The purpose of the research is to design and develop a new intelligent algorithm for robot grasping system, which can be used for real-time control of robot arm to improve its performance when grasping objects with different stiffness. The focus of this research is to design and develop a new intelligent algorithm of robot grasping system that can be used for real-time control of robot arm, so as to improve its performance when grasping objects with different stiffness. The focus of the research is to design and develop a new intelligent algorithm of robot grasping system which can be used for real-time control of robot arm.