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자료유형
학술저널
저자정보
김동훈 (KAIST) 신재욱 (KAIST) 김형진 (KAIST) 김한근 (KAIST) 이동화 (KAIST) 이승목 (KAIST) 명현 (KAIST)
저널정보
한국로봇학회(논문지) 로봇학회 논문지 로봇공학회 논문지 제8권 제1호
발행연도
2013.3
수록면
51 - 57 (7page)

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Recently, the number of jellyfish has been rapidly grown because of the global warming, the increase of marine structures, pollution, and etc. The increased jellyfish is a threat to the marine ecosystem and induces a huge damage to fishery industries, seaside power plants, and beach industries. To overcome this problem, a manual jellyfish dissecting device and pump system for jellyfish removal have been developed by researchers. However, the systems need too many human operators and their benefit to cost is not so good. Thus, in this paper, the design, implementation, and experiments of autonomous jellyfish removal robot system, named JEROS, have been presented. The JEROS consists of an unmanned surface vehicle (USV), a device for jellyfish removal, an electrical control system, an autonomous navigation system, and a vision-based jellyfish detection system. The USV was designed as a twin hull-type ship, and a jellyfish removal device consists of a net for gathering jellyfish and a blades-equipped propeller for dissecting jellyfish. The autonomous navigation system starts by generating an efficient path for jellyfish removal when the location of jellyfish is received from a remote server or recognized by a vision system. The location of JEROS is estimated by IMU (Inertial Measurement Unit) and GPS, and jellyfish is eliminated while tracking the path. The performance of the vision-based jellyfish recognition, navigation, and jellyfish removal was demonstrated through field tests in the Masan and Jindong harbors in the southern coast of Korea.

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Abstract
1. 서론
2. JEROS의 설계 및 구현
3. 실험 및 결과 분석
4. 결론
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UCI(KEPA) : I410-ECN-0101-2020-559-001258744