해양환경 물리엔진을 이용한 성능 예측 툴 개발

DC Field Value Language
dc.contributor.author 만동우 -
dc.contributor.author 신창주 -
dc.contributor.author 장인성 -
dc.date.accessioned 2023-07-12T07:30:04Z -
dc.date.available 2023-07-12T07:30:04Z -
dc.date.created 2023-07-12 -
dc.date.issued 2023-06-23 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/44419 -
dc.description.abstract Recently, the need for advanced mission performance in the ocean is increasing, and the demand for marine robots is also increasing to meet this demand. However, it is difficult to predict performance in the system design process while developing marine robots. To solve this problem, we developed a performance prediction tool with SPH(Smoothed Particle Hydrodynamics) function using Unreal Engine. The developed performance prediction tool could estimate the posture using only the 3D design results, so it was possible to check the performance during the system development process. -
dc.description.uri 2 -
dc.language Korean -
dc.publisher 제어로봇시스템학회 -
dc.title 해양환경 물리엔진을 이용한 성능 예측 툴 개발 -
dc.title.alternative Development of Performance Prediction Tool using Marine Environment Physics Engine -
dc.type Conference -
dc.citation.conferenceDate 2023-06-21 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 강원도 쏠비치 삼척 -
dc.citation.title 2023 제38회 제어·로봇·시스템학회 학술대회(ICROS2023) -
dc.contributor.alternativeName 만동우 -
dc.contributor.alternativeName 신창주 -
dc.contributor.alternativeName 장인성 -
dc.identifier.bibliographicCitation 2023 제38회 제어·로봇·시스템학회 학술대회(ICROS2023) -
dc.description.journalClass 2 -
Appears in Collections:
Marine Industry Research Division > Maritime ICT & Mobility Research Department > 2. Conference Papers
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse