Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1498
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dc.contributor.authorGunasekara, J. M. P-
dc.contributor.authorGopura, R. A. R. C-
dc.contributor.authorJayawardena, T. S. S-
dc.contributor.authorLalitharathne, S. W. H. M. T. D-
dc.date.accessioned2022-03-04T08:51:34Z-
dc.date.available2022-03-04T08:51:34Z-
dc.date.issued2012-12-16-
dc.identifier.citationJ. M. P. Gunasekara, R. A. R. C. Gopura, T. S. S. Jayawardane and S. W. H. M. T. D. Lalitharathne, "Control methodologies for upper limb exoskeleton robots," 2012 IEEE/SICE International Symposium on System Integration (SII), 2012, pp. 19-24, doi: 10.1109/SII.2012.6427387.en_US
dc.identifier.isbn978-1-4673-1497-8-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1498-
dc.description.abstractAn exoskeleton robot is kind of a man-machine system which mostly uses combination of human intelligence and machine power. These robotic systems are used for different applications such as rehabilitation, human power amplification, motion assistance, virtual reality etc. Successful operation of an exoskeleton robot depends on correct selection of design and control methodologies. This paper reviews control methodologies used in upper limb exoskeleton robots. In the review, the control methods used in the exoskeleton robots are classified into three categories: control system based on human biological signal, nonbiological signal and platform independent control system. Different types of control methods under each category are compared and reviewed.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2012 IEEE/SICE International Symposium on System Integration (SII);Pages 19-24-
dc.subjectControl methodologiesen_US
dc.subjectupper limben_US
dc.subjectexoskeleton robotsen_US
dc.titleControl methodologies for upper limb exoskeleton robotsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/SII.2012.6427387en_US
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - SLIIT Staff Publications

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