Real time virtual simulation of an underactuated pendulum-driven capsule system

In 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...

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Main Authors: Samarnggoon K., Yu H.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869421084&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42724
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Institution: Chiang Mai University
id th-cmuir.6653943832-42724
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spelling th-cmuir.6653943832-427242017-09-28T06:38:03Z Real time virtual simulation of an underactuated pendulum-driven capsule system Samarnggoon K. Yu H. In 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. 2017-09-28T06:38:03Z 2017-09-28T06:38:03Z 2012-11-26 Conference Proceeding 2-s2.0-84869421084 10.1109/CONTROL.2012.6334692 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869421084&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42724
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description In 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.
format Conference Proceeding
author Samarnggoon K.
Yu H.
spellingShingle Samarnggoon K.
Yu H.
Real time virtual simulation of an underactuated pendulum-driven capsule system
author_facet Samarnggoon K.
Yu H.
author_sort Samarnggoon K.
title Real time virtual simulation of an underactuated pendulum-driven capsule system
title_short Real time virtual simulation of an underactuated pendulum-driven capsule system
title_full Real time virtual simulation of an underactuated pendulum-driven capsule system
title_fullStr Real time virtual simulation of an underactuated pendulum-driven capsule system
title_full_unstemmed Real time virtual simulation of an underactuated pendulum-driven capsule system
title_sort real time virtual simulation of an underactuated pendulum-driven capsule system
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869421084&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42724
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