RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재후보

      Virtual Hill 및 Sink 개념 기반의 군집 로봇의 직선 대형 주행 기법 = Cluster Robots Line formatted Navigation Based on Virtual Hill and Virtual Sink

      한글로보기

      https://www.riss.kr/link?id=A100234125

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Robots have been used in many fields due to its performance improvement and variety of its functionality, to the extent which robots can replace human tasks. Individual feature and better performance of robots are expected and required to be created. As their performances and functions have increased, systems have gotten more complicated. Multi mobile robots can perform complex tasks with simple robot system and algorithm. But multi mobile robots face much more complex driving problem than singular driving. To solve the problem, in this study, driving algorithm based on the energy method is applied to the individual robot in a group. This makes a cluster be in a formation automatically and suggests a cluster the automatic driving method so that they stably arrive at the target. The energy method mentioned above is applying attractive force and repulsive force to a special target, other robots or obstacles. This creates the potential energy, and the robot is controlled to drive in the direction of decreasing energy, which basically satisfies lyapunov function. Through this method, a cluster robot is able to create a formation and stably arrives at its target.
      번역하기

      Robots have been used in many fields due to its performance improvement and variety of its functionality, to the extent which robots can replace human tasks. Individual feature and better performance of robots are expected and required to be created. ...

      Robots have been used in many fields due to its performance improvement and variety of its functionality, to the extent which robots can replace human tasks. Individual feature and better performance of robots are expected and required to be created. As their performances and functions have increased, systems have gotten more complicated. Multi mobile robots can perform complex tasks with simple robot system and algorithm. But multi mobile robots face much more complex driving problem than singular driving. To solve the problem, in this study, driving algorithm based on the energy method is applied to the individual robot in a group. This makes a cluster be in a formation automatically and suggests a cluster the automatic driving method so that they stably arrive at the target. The energy method mentioned above is applying attractive force and repulsive force to a special target, other robots or obstacles. This creates the potential energy, and the robot is controlled to drive in the direction of decreasing energy, which basically satisfies lyapunov function. Through this method, a cluster robot is able to create a formation and stably arrives at its target.

      더보기

      참고문헌 (Reference)

      1 H. Baltzakes, "fusion of Laser and Visual Data for Robot Motion Planning and Collision Avoidance" 92-100, 2003

      2 J. G. Lyu, "The map building based on ultrasonic sensors for a mobile robot" 2004

      3 Y. Q. Qin, "Path planning for mobile robot using the particle swarm optimization with mutation operator" 2473-2478, 2004

      4 J. P. Qria, "Object recognition using ultrasonic sensors in robotic applications" 1993

      5 G. L. Foresti, "Multisensor Data Fusion for Autonomous Vehicle Navigation in Risky Environment" 51 : 1165-1185, 2002

      6 Esha D, Nerurkar, "Distributed Maximum A Posteriori Estimation for Multi-robot Cooperative Localization" 2009

      7 L. E. Parker, "Current state of the art in distributed autonomous mobile robotics" 4 : 3-12, 2000

      8 P. Urcola, "Cooperative navigation using environment compliant robot formations" 2789-2794, 2008

      9 J. Spletzer, "Cooperative Localization and Control for Multi-Robot Manipulation" 631-636, 2001

      10 M. G. Park, "Artificial Potential Field Based Path Planning for Mobile Robots Using a Virtual Obstacle Concept" 20-24, 2003

      1 H. Baltzakes, "fusion of Laser and Visual Data for Robot Motion Planning and Collision Avoidance" 92-100, 2003

      2 J. G. Lyu, "The map building based on ultrasonic sensors for a mobile robot" 2004

      3 Y. Q. Qin, "Path planning for mobile robot using the particle swarm optimization with mutation operator" 2473-2478, 2004

      4 J. P. Qria, "Object recognition using ultrasonic sensors in robotic applications" 1993

      5 G. L. Foresti, "Multisensor Data Fusion for Autonomous Vehicle Navigation in Risky Environment" 51 : 1165-1185, 2002

      6 Esha D, Nerurkar, "Distributed Maximum A Posteriori Estimation for Multi-robot Cooperative Localization" 2009

      7 L. E. Parker, "Current state of the art in distributed autonomous mobile robotics" 4 : 3-12, 2000

      8 P. Urcola, "Cooperative navigation using environment compliant robot formations" 2789-2794, 2008

      9 J. Spletzer, "Cooperative Localization and Control for Multi-Robot Manipulation" 631-636, 2001

      10 M. G. Park, "Artificial Potential Field Based Path Planning for Mobile Robots Using a Virtual Obstacle Concept" 20-24, 2003

      11 Y. H. Kang, "A Study about Cluster Robot of Line formatted Navigation Using Potential Field Method" 2011

      12 K. Ohtani, "A Simple Identification Method for Object Shapes and Materials Using an Ultrasonic Sensor Array" 2138-2143, 2006

      13 P. Song, "A Potential Field Based Approach to Multi-Robot Manipulation" 1217-1222, 2002

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가 재인증평가 신청대상 (재인증)
      2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
      2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 등재 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 등재 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2012-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2011-01-01 등재 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2009-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
      2008-09-30 학회명변경 한글명 : 한국로봇공학회 -> 한국로봇학회
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.59 0.45
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.38 0.31 0.716 0.11
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼