Biologically inspired deoxyribonucleic acid soft computing for inverse kinematics solver of five-DOF robotic manipulators

摘要

This paper presents a biologically inspired deoxyribonucleic acid (DNA) algorithm for solving the inverse kinematics of five degree-of-freedom (DOF) robotic manipulators. Although the 5-DOF robotic manipulator agilely maneuvers from one pose to another and easily performs some tasks, the inverse kinematics problem of the system is redundant. This problem has no general closed-form solutions or analytical solutions for the 5-DOF manipulator. The DNA soft computing is proposed to solve the redundant inverse kinematics problem of the 5-DOF robotic manipulators more efficiently. Simulation results are conducted to illustrate the effectiveness and merit of the proposed methods in comparison with conventional genetic algorithm (GA) and particle swarm optimization.