DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김정중 | ko |
dc.contributor.author | 이주장 | ko |
dc.date.accessioned | 2017-04-14T08:16:39Z | - |
dc.date.available | 2017-04-14T08:16:39Z | - |
dc.date.created | 2017-04-04 | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | 한국산업융합학회논문집, v.19, no.4, pp.167 - 175 | - |
dc.identifier.issn | 1226-833x | - |
dc.identifier.uri | http://hdl.handle.net/10203/223135 | - |
dc.description.abstract | We present a method for improving adaptability of Learning from Demonstration (LfD) strategy by combining the LfD and Particle Swarm Optimization (PSO). A trajectory generated from an LfD is modified with PSO by minimizing a fitness function that considers constraints. Finally, the final trajectory is suitable for a task and adapted for constraints. The effectiveness of the method is shown with a target reaching task with a manipulator in three-dimensional space. | - |
dc.language | Korean | - |
dc.publisher | 한국산업융합학회 | - |
dc.subject | Motion planning | - |
dc.subject | Particle swarm optimization | - |
dc.subject | Learning | - |
dc.subject | Manipulator | - |
dc.title | 운동계획을 위한 입자 군집 최적화를 이용한시범에 의한 학습의 적응성 향상 | - |
dc.title.alternative | Adaptability Improvement of Learning from Demonstration with Particle Swarm Optimization for Motion Planning | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 4 | - |
dc.citation.beginningpage | 167 | - |
dc.citation.endingpage | 175 | - |
dc.citation.publicationname | 한국산업융합학회논문집 | - |
dc.identifier.kciid | ART002187576 | - |
dc.contributor.localauthor | 이주장 | - |
dc.contributor.nonIdAuthor | 김정중 | - |
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