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A Hybrid Position/Force Controller for Joint Robots

Shengwen Xie, Juan Ren

Year
2021
Citations
7

Abstract

In this paper, we present a hybrid position/force controller for operating joint robots. The hybrid controller has two goals—motion tracking and force regulating. As long as these two goals are not mutually exclusive, they can be decoupled in some way. In this work, we make use of the smooth and invertible mapping from the joint space to the task space to decouple the two control goals and design controllers separately. The traditional motion controller in the task space is used for motion control, while the force controller is designed through manipulating the desired trajectory to regulate the force indirectly. Two case studies—contour tracking/polishing surfaces and grabbing boxes with two robotic arms—are presented to show the efficacy of the hybrid controller, and simulations with physics engines are carried out to validate the efficacy of the proposed method.

Keywords

Controller (irrigation)Control theory (sociology)TrajectoryMotion controlRobotComputer sciencePosition (finance)Task (project management)Control engineeringMotion (physics)

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