DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Chan Soon | ko |
dc.contributor.author | Kwon, Dong-Soo | ko |
dc.date.accessioned | 2018-01-30T02:17:28Z | - |
dc.date.available | 2018-01-30T02:17:28Z | - |
dc.date.created | 2017-12-29 | - |
dc.date.created | 2017-12-29 | - |
dc.date.issued | 2017-07-25 | - |
dc.identifier.citation | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.165 - 166 | - |
dc.identifier.issn | 2325-033X | - |
dc.identifier.uri | http://hdl.handle.net/10203/237977 | - |
dc.description.abstract | Motion diversity is an important factor in resembling motion with human-likeness. In this paper, we propose a method by which a robot acquires gesturing skills with motion diversity. We measured the bowing gesture with a 3D capturing camera and used dynamic movement primitives (DMPs) in order to capture the distribution of kernel parameters. The results showed that the height of kernel parameters have a Gaussian distribution and that the trajectory regenerated with the calculated parameters had the desired motion diversity. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Learning bowing gesture with motion diversity by dynamic movement primitives | - |
dc.type | Conference | - |
dc.identifier.wosid | 000426976900036 | - |
dc.identifier.scopusid | 2-s2.0-85034210469 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 165 | - |
dc.citation.endingpage | 166 | - |
dc.citation.publicationname | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Maison Glad Jeju | - |
dc.identifier.doi | 10.1109/URAI.2017.7992701 | - |
dc.contributor.localauthor | Kwon, Dong-Soo | - |
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