Locomotion generation for a mobile manipulator by global minimization of the weighted generalized momentum. (22nd July 2020)

• Record Type: Journal Article
• Authors: Pitakwatchara, Phongsaen
• Is Part Of: International journal of advanced robotic systems. Volume 17:Number 4(2020:Jul./Aug.)
• Publication Date: 2020-07-22
• Subjects: Motion planning -- redundant robots -- optimization -- dynamics; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881420930936
• Languages: English
• ISSNs: 1729-8806

Abstract

This article presents a method for generating the locomotion of a mobile manipulator that globally minimizes the weighted generalized momentum. The method utilizes the calculus of variation setting to address the problem for which the optimal trajectory may be computed by solving the initial value problem of the system of ordinary differential equations rather than the two-point boundary value problem. Online optimal trajectory may then be input to a suitable tracking controller for controlling the robot in real time. Effectively, the robot closed-loop dynamics is shaped to the optimal system such that the locomotion minimizes the difference of the weighted generalized momentum and the assigned potential energy under the constraints imposed on by the tracking task, joint angle, and actuator torque limits. Desired locomotion behaviors may be achieved by properly adjusting the weighting, spring, and damping matrices. Exploiting the induced dynamical force from the cooperative motion of the constituent linkages through the momentum minimization basis, the robot is able to outperform conventional locomotion pattern actuated by the platform solely.