Optimization of the design characteristics of Hexapods using the particle swarm method and the finite element method

Abstract

Hexapods, or six-legged parallel manipulators, are used in many areas requiring high precision and stability, such as aerospace engineering, medical devices and robotic systems. Their performance and reliability can be improved by developing the most accurate models and optimizing them. The article presents a new approach using a combination of PSO and FEM to optimize the design characteristics of hexapods. It is expected that this study will help to improve the accuracy, efficiency and overall performance of the hexapod by using the capabilities of the PSO to optimize the FEM and for detailed modeling. In this study, the finite element method and particle swarm optimization methods will be integrated to optimize the design characteristics of the hexapod robot.

It is assumed that the integration of the FEM model into the PSO-based optimization process will provide a systematic and comprehensive way to improve the accuracy, efficiency and overall performance of hexapod robots. The solution concept should be able to realize the full potential of hexapod technology by using the strengths of FEM in detailed structural analysis and the effectiveness of the PSO method in optimization, which will expand its application in various industries.