DC Field | Value | Language |
---|---|---|
dc.contributor.author | Myeong, Wancheol | ko |
dc.contributor.author | Jung, Kwang Yik | ko |
dc.contributor.author | Myung, Hyun | ko |
dc.date.accessioned | 2017-12-05T02:33:41Z | - |
dc.date.available | 2017-12-05T02:33:41Z | - |
dc.date.created | 2017-11-28 | - |
dc.date.created | 2017-11-28 | - |
dc.date.created | 2017-11-28 | - |
dc.date.issued | 2017-06-29 | - |
dc.identifier.citation | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.204 - 207 | - |
dc.identifier.issn | 2325-033X | - |
dc.identifier.uri | http://hdl.handle.net/10203/227680 | - |
dc.description.abstract | In these days, high-rise buildings and large complex structures are rapidly increasing due to the advancement of construction technologies and other economic reasons. Since these urban spaces are densely populated, fire accident could be critical and accessing the situation at early stage is very important in order to suppress the fire and evacuate the residents. In that, aerial robot platform has advantages because of its ability to access to the place that is hard to reach. However, in most cases, their essential elements like electronic equipment are directly exposed to the air for decreasing its own weight and cooling effect. Therefore, it is not possible to operate the conventional drones near fire. In this paper, we developed the fireproof aerial robot platform that can endure the intermittent flame. The radial size of the robot is 600mm for indoor operation and safety. | - |
dc.language | English | - |
dc.publisher | Korea Robotics Society | - |
dc.title | Development of FAROS (fire-proof drone) using an aramid fiber armor and air buffer layer | - |
dc.type | Conference | - |
dc.identifier.wosid | 000426976900048 | - |
dc.identifier.scopusid | 2-s2.0-85034268990 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 204 | - |
dc.citation.endingpage | 207 | - |
dc.citation.publicationname | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Maison Glad Jeju, Jeju | - |
dc.identifier.doi | 10.1109/URAI.2017.7992713 | - |
dc.contributor.localauthor | Myung, Hyun | - |
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