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GENETIC ALGORITHM FOR SOLVING THE INVERSE KINEMATICS PROBLEM OF ROBOT

Yong‐Chao Liu

Open publisher page 9 citations

Abstract

A new method using genetic algorithm for computing numerical solutions of the inverse kinematics problem for robot is developed in this paper. The proposed method is based on the analysis of previous method.The fitness function for solving the problem is defined. Recording method is provided in order to improve the solution accuracy. Computer simulation shows that the algorithm can be quickly convergent at global optimum, can give out certain solutions for inverse kinematics problem of robot, and can solve the inverse kinematics problem of redundant robot.

About this research paper

What this paper is about

A new method using genetic algorithm for computing numerical solutions of the inverse kinematics problem for robot is developed in this paper. The proposed method is based on the analysis of previous method.The fitness function for solving the problem is defined. Recording method is provided in order to improve the solution accuracy. Computer simulation shows that the algorithm can be quickly convergent at global optimum, can give out certain solutions for inverse kinematics problem of robot, and can solve the inverse kinematics problem of redundant robot.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new method using genetic algorithm for computing numerical solutions of the inverse kinematics problem for robot is developed in this paper. The proposed method is based on the analysis of previous method.The fitness function for solving the problem is defined. Recording method is provided in order to improve the solution accuracy. Computer simulation shows that the algorithm can be quickly convergent at global optimum, can give out certain solutions for inverse kinematics problem of robot, and can solve the inverse kinematics problem of redundant robot.

Key concepts: Inverse kinematics, Computer science, Kinematics, Genetic algorithm, Robot, Fitness function, Inverse, Robot kinematics

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