Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51589
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dc.contributor.authorKeattikorn Samarnggoonen_US
dc.contributor.authorHongnian Yuen_US
dc.date.accessioned2018-09-04T06:04:55Z-
dc.date.available2018-09-04T06:04:55Z-
dc.date.issued2012-11-26en_US
dc.identifier.other2-s2.0-84869421084en_US
dc.identifier.other10.1109/CONTROL.2012.6334692en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869421084&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51589-
dc.description.abstractIn this paper, a real time virtual simulation framework which is the foundation for studying human adaptive mechatronics (HAM) is proposed. This framework allows researchers to interact and experiment with the system in real time. Thus, motion control patterns can be identified and learned with, for example, a heuristic strategy. The prototype is developed with an underactuated pendulum-driven capsule robot model. Motion control patterns are identified and presented. The experimentation results demonstrate the proposed concept. © 2012 IEEE.en_US
dc.subjectEngineeringen_US
dc.titleReal time virtual simulation of an underactuated pendulum-driven capsule systemen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings of the 2012 UKACC International Conference on Control, CONTROL 2012en_US
article.stream.affiliationsStaffordshire Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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