A three-stage trajectory generation method for robot-assisted bilateral upper limb training with subject-specific adaptation

Miao, Qing, McDaid, Andrew, Zhang, Mingming, Kebria, Parham and Li, Hongsheng 2018, A three-stage trajectory generation method for robot-assisted bilateral upper limb training with subject-specific adaptation, Robotics and Autonomous Systems, vol. 105, pp. 38-46, doi: 10.1016/j.robot.2018.03.010.

Attached Files
Name Description MIMEType Size Downloads

Title A three-stage trajectory generation method for robot-assisted bilateral upper limb training with subject-specific adaptation
Author(s) Miao, Qing
McDaid, Andrew
Zhang, Mingming
Kebria, ParhamORCID iD for Kebria, Parham orcid.org/0000-0001-7049-928X
Li, Hongsheng
Journal name Robotics and Autonomous Systems
Volume number 105
Start page 38
End page 46
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-07
ISSN 0921-8890
Keyword(s) Robot-assisted
Bilateral
Upper limb
Trajectory generation
Workspace
Interference analysis
Science & Technology
Technology
Automation & Control Systems
Computer Science, Artificial Intelligence
Robotics
Computer Science
STROKE REHABILITATION
UPPER-EXTREMITY
EXOSKELETON
Language eng
DOI 10.1016/j.robot.2018.03.010
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30130688

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 6 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 15 Oct 2019, 07:12:30 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.