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Research on Theory and a Performance Analysis of an Innovative Rehabilitation Robot

Junyu Wu, Yubin Liu, Jie Zhao, Xizhe Zang, Yingzi Guan

Year
2022
Citations
8
Access
Open access

Abstract

This paper presents an innovative application of a 6-DOF robot in the field of rehabilitation training. This robot operates in a parallel fashion for lower limb movement, which adopts a new structure that can help patients to carry out a variety of rehabilitation exercises. Traditional parallel robots, such as the Stewart robot, have the characteristics of strong bearing capacity. However, it is difficult to achieve high-speed, high-acceleration and long journey movement. This paper presents a new robot configuration that can address these problems. This paper also conducts an all-around characteristic analysis of this new parallel robot, including kinematics, dynamics and structure, to better study the robot and improve its performance. This paper optimizes an algorithm to make it more suitable for rehabilitation training. Finally, the performance improvements brought by optimization are verified by simulations.

Keywords

RobotKinematicsField (mathematics)RehabilitationVariety (cybernetics)Parallel manipulatorAccelerationComputer scienceSimulationRobot kinematics

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