Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot

Robot-assisted rehabilitation therapy has been proven to effectively improve upper limb motor function and daily behavior of patients with motor dysfunction, and the demand has increased at every stage of the rehabilitation recovery. According to the motor relearning program theory, upper limb motor...

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Main Authors: Leigang Zhang, Shuai Guo, Qing Sun
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/19/6684
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author Leigang Zhang
Shuai Guo
Qing Sun
author_facet Leigang Zhang
Shuai Guo
Qing Sun
author_sort Leigang Zhang
collection DOAJ
description Robot-assisted rehabilitation therapy has been proven to effectively improve upper limb motor function and daily behavior of patients with motor dysfunction, and the demand has increased at every stage of the rehabilitation recovery. According to the motor relearning program theory, upper limb motor dysfunction can be restored by a certain amount of repetitive training. Robotics devices can be an approach to accelerate the rehabilitation process by maximizing the patients’ training intensity. This paper develops a new end-effector upper limb rehabilitation robot (EULRR) first and then presents a controller that is suitable for the assist-as-needed (AAN) training of the patients when performing the rehabilitation training. The AAN controller is a strategy that helps the patient’s arm to stay close to the given trajectory while allowing for spatial freedom. This controller enables the patient’s arm to have spatial freedom by constructing a virtual channel around the predetermined training trajectory. Patients could move their arm freely in the allowed virtual channel during rehabilitation training while the robot provides assistance when deviating from the virtual channel. The AAN controller is preliminarily tested with a healthy male subject in different conditions based on the EULRR. The experimental results demonstrate that the proposed AAN controller could provide assistance when moving out of the virtual channel and provide no assistance when moving along the trajectory within the virtual channel. In the close future, the controller is planned to be used in elderly volunteers and help to increase the intensity of the rehabilitation therapy by assisting the arm movement and by provoking active participation.
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spelling doaj.art-4a5da7fb1d2f40be80bada162ef771be2023-11-20T14:56:45ZengMDPI AGApplied Sciences2076-34172020-09-011019668410.3390/app10196684Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation RobotLeigang Zhang0Shuai Guo1Qing Sun2Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444, ChinaShanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444, ChinaShanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444, ChinaRobot-assisted rehabilitation therapy has been proven to effectively improve upper limb motor function and daily behavior of patients with motor dysfunction, and the demand has increased at every stage of the rehabilitation recovery. According to the motor relearning program theory, upper limb motor dysfunction can be restored by a certain amount of repetitive training. Robotics devices can be an approach to accelerate the rehabilitation process by maximizing the patients’ training intensity. This paper develops a new end-effector upper limb rehabilitation robot (EULRR) first and then presents a controller that is suitable for the assist-as-needed (AAN) training of the patients when performing the rehabilitation training. The AAN controller is a strategy that helps the patient’s arm to stay close to the given trajectory while allowing for spatial freedom. This controller enables the patient’s arm to have spatial freedom by constructing a virtual channel around the predetermined training trajectory. Patients could move their arm freely in the allowed virtual channel during rehabilitation training while the robot provides assistance when deviating from the virtual channel. The AAN controller is preliminarily tested with a healthy male subject in different conditions based on the EULRR. The experimental results demonstrate that the proposed AAN controller could provide assistance when moving out of the virtual channel and provide no assistance when moving along the trajectory within the virtual channel. In the close future, the controller is planned to be used in elderly volunteers and help to increase the intensity of the rehabilitation therapy by assisting the arm movement and by provoking active participation.https://www.mdpi.com/2076-3417/10/19/6684robot-aided trainingend-effector rehabilitation robotassist-as-neededvirtual channel
spellingShingle Leigang Zhang
Shuai Guo
Qing Sun
Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
Applied Sciences
robot-aided training
end-effector rehabilitation robot
assist-as-needed
virtual channel
title Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
title_full Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
title_fullStr Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
title_full_unstemmed Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
title_short Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot
title_sort development and assist as needed control of an end effector upper limb rehabilitation robot
topic robot-aided training
end-effector rehabilitation robot
assist-as-needed
virtual channel
url https://www.mdpi.com/2076-3417/10/19/6684
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AT shuaiguo developmentandassistasneededcontrolofanendeffectorupperlimbrehabilitationrobot
AT qingsun developmentandassistasneededcontrolofanendeffectorupperlimbrehabilitationrobot