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Load distribution algorithms for redundantly actuated manipulator resembling the human upper-extremity

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dc.contributor.authorImran, Abid-
dc.contributor.authorLee, Sungon-
dc.contributor.authorYi, Byungju-
dc.date.accessioned2021-06-22T17:25:07Z-
dc.date.available2021-06-22T17:25:07Z-
dc.date.issued2016-10-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14672-
dc.description.abstractThis paper presents the optimization of muscle forces in the human upper extremity for the desired trajectory. The proposed kinematic model of the human upper extremity is a force redundant mechanism, implying that number of actuators are more than number of outputs. During the trajectory, the torque is generated for each joint by antagonistic activation of muscles. The biological actuators (muscles) can only generate forces in one direction (unidirectional). Based on this fact and considering the maximum forces limit for each muscle, we proposed a dynamic optimization technique in which only positive muscles forces not exceeding their maximum limits are generated to follow the desired trajectory. ? 2016 IEEE.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleLoad distribution algorithms for redundantly actuated manipulator resembling the human upper-extremity-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/URAI.2016.7734060-
dc.identifier.scopusid2-s2.0-85000814849-
dc.identifier.wosid000387249900089-
dc.identifier.bibliographicCitation2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, pp 358 - 362-
dc.citation.title2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016-
dc.citation.startPage358-
dc.citation.endPage362-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordPlusActuators-
dc.subject.keywordPlusArtificial intelligence-
dc.subject.keywordPlusDynamics-
dc.subject.keywordPlusIntelligent robots-
dc.subject.keywordPlusKinematics-
dc.subject.keywordPlusTrajectories-
dc.subject.keywordPlusBiological actuators-
dc.subject.keywordPlusDesired trajectories-
dc.subject.keywordPlusDynamic optimization-
dc.subject.keywordPlusForce optimization-
dc.subject.keywordPlusNumber of actuators-
dc.subject.keywordPlusRedundant mechanisms-
dc.subject.keywordPlusRedundantly actuated-
dc.subject.keywordPlusUpper extremity-
dc.subject.keywordPlusMuscle-
dc.subject.keywordAuthorDynamics-
dc.subject.keywordAuthorForce optimization-
dc.subject.keywordAuthorHuman upper extremity-
dc.subject.keywordAuthorKinematics-
dc.subject.keywordAuthorMuscles forces-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7734060-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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