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A Bio-Inspired Modular Robot for Mutual Position Detection based on Relative Motion Recognition
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dc.contributor.author Son, Byung Rak -
dc.contributor.author Lee, Hyun -
dc.contributor.author Kim, Jung Eun -
dc.contributor.author Lee, Dong Ha -
dc.date.accessioned 2021-04-26T07:02:12Z -
dc.date.available 2021-04-26T07:02:12Z -
dc.date.created 2018-03-29 -
dc.date.issued 2012-04 -
dc.identifier.issn 1738-9968 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13400 -
dc.description.abstract One of key goals of disaster response and relief robots is to acquire knowledge about the
situation that would be either dangerous or inaccessible to human operator. However, the
robot is difficult to acquire tele-operations from the operator. A disconnected communication
link and no-visual control situation are frequently happened in disaster areas. Moreover,
disaster scenarios are typically spatially distributed, so we may need an intelligent robot that
has functions such as autonomy, cooperation, and collective behaviors. Thus, we propose the
bio-inspired modular robot named as ARTHROBOT so as to support emergency responders.
ARTHROBOT can assemble or disassemble process based on the proposed mobile algorithms.
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dc.language English -
dc.publisher Science & Engineering Research Support soCiety -
dc.title A Bio-Inspired Modular Robot for Mutual Position Detection based on Relative Motion Recognition -
dc.type Article -
dc.identifier.bibliographicCitation Son, Byung Rak. (2012-04). A Bio-Inspired Modular Robot for Mutual Position Detection based on Relative Motion Recognition. International Journal of Hybrid Information Technology, 5(2), 103–108. -
dc.description.isOpenAccess FALSE -
dc.identifier.url https://pdfs.semanticscholar.org/3f50/fc32237dddafa41a5b19609c2cbf3712a8e5.pdf -
dc.citation.endPage 108 -
dc.citation.number 2 -
dc.citation.startPage 103 -
dc.citation.title International Journal of Hybrid Information Technology -
dc.citation.volume 5 -
dc.description.journalRegisteredClass foreign -
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손병락
Son, Byungrak손병락

Division of Energy & Environmental Technology

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