Minimum-Acceleration Trajectory Optimization for Humanoid Manipulator Based on Differential Evolution. (20th April 2016)

• Record Type: Journal Article
• Authors: Ziwu, Ren; Chunguang, Li; Lining, Sun
• Is Part Of: International journal of advanced robotic systems. Volume 13:Number 2(2016)
• Publication Date: 2016-04-20
• Subjects: Trajectory Optimization -- Minimum-acceleration Trajectory -- Humanoid Manipulator -- Differential Evolution; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/63070
• Languages: English
• ISSNs: 1729-8806

Abstract

A humanoid manipulator produces significantly reactive forces against a humanoid body when it operates in a rapid and continuous reaction environment (e.g., playing baseball, ping-pong etc.). This not only disturbs the balance and stability of the humanoid robot, but also influences its operation precision. To solve this problem, a novel approach, which is able to generate a minimum-acceleration and continuous acceleration trajectory for the humanoid manipulator, is presented in this paper. By this method, the whole trajectory of humanoid manipulation is divided into two processes, i.e., the operation process and the return process. Moreover, the target operation point is considered as a particular point that should be passed through. As such, the trajectory of each process is described through a quartic polynomial in the joint space, after which the trajectory planning problem for the humanoid manipulator can be formulated as a global constrained optimization problem. In order to alleviate the reactive force, a fitness function that aims to minimize the maximum acceleration of each joint of the manipulator is defined, while differential evolution is employed to determine the joint accelerations of the target operation point. Thus, a trajectory with a minimum-acceleration and continuous acceleration profile is obtained, which can reduce the effect on the body and be favourable for the balance and stability of the humanoid robot to a certain extent. Finally, a humanoid robot with a 7-DOF manipulator for ping-pong playing is employed as an example. Simulation experiment results show the effectiveness of this method for the trajectory planning problem being studied.