Author
Uğurlu, Regaip Barkan, Nishimura, M., Hyodo, K., Kawanishi, M., Narikiyo, T.
Publication Date
2015-02
Publication Place
-
IEEE
Subject
Disturbance observer (DOB), Exoskeleton, Power assistance, Robot-aided rehabilitation, User torque estimation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2168-2291
Record ID
dae05d0e-fc3d-4685-a599-00df8b6400db
Library Location
Mechanical Engineering
Date
2015-02
Notes
Ministry of Education, Culture, Sports, Science and Technology, Japan
Sample Text
This paper presents a wearable upper body exoskeleton system with a model-based compensation control framework to support robot-aided shoulder-elbow rehabilitation and power assistance tasks. To eliminate the need for EMG and force sensors, we exploit off-the-shelf compensation techniques developed for robot manipulators. Thus, target rehabilitation tasks are addressed by using only encoder readings. A proof-of-concept evaluation was conducted with live able-bodied participants. The patient-active rehabilitation task was realized via observer-based user torque estimation, in which resistive forces were adjusted using virtual impedance. In the patient-passive rehabilitation task, the proposed controller enabled precise joint tracking with a maximum positioning error of 0.25°. In the power assistance task, the users' muscular activities were reduced up to 85% while exercising with a 5 kg dumbbell. Therefore, the exoskeleton system was regarded as being useful for the target tasks, indicating that it has a potential to promote robot-aided therapy protocols.
DOI
10.1109/THMS.2014.2362816
Cilt
45