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      KCI등재 SCOPUS

      An Advanced Motion Planning Algorithm for the Multi Transportation Mobile Robot

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      https://www.riss.kr/link?id=A106262313

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      다국어 초록 (Multilingual Abstract)

      In this paper, an advanced motion planning algorithm for the multi transportation mobile robots is presented. The proposed algorithm is developed based on the D* Lite path planning algorithm to avoid dynamic obstacles and a potential collision between the transportation robots. In the multi-robot environment, an operation server manages all planned paths of the robots by using the condition of the robot and obstacle environment. The server updates continuously database of all robots in a real-time. The proposed algorithm checks and predicts a safe point and then decides the lower and higher priority robot. The lower priority robot will be re-planned the path to avoid a potential collision with higher priority robot. The experimental results show that the server can quickly update the path of two robots in the real-time. It can also check and re-plan correctly the path by using D* Lite algorithm to avoid a potential collision of two robots
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      In this paper, an advanced motion planning algorithm for the multi transportation mobile robots is presented. The proposed algorithm is developed based on the D* Lite path planning algorithm to avoid dynamic obstacles and a potential collision between...

      In this paper, an advanced motion planning algorithm for the multi transportation mobile robots is presented. The proposed algorithm is developed based on the D* Lite path planning algorithm to avoid dynamic obstacles and a potential collision between the transportation robots. In the multi-robot environment, an operation server manages all planned paths of the robots by using the condition of the robot and obstacle environment. The server updates continuously database of all robots in a real-time. The proposed algorithm checks and predicts a safe point and then decides the lower and higher priority robot. The lower priority robot will be re-planned the path to avoid a potential collision with higher priority robot. The experimental results show that the server can quickly update the path of two robots in the real-time. It can also check and re-plan correctly the path by using D* Lite algorithm to avoid a potential collision of two robots

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      참고문헌 (Reference)

      1 조재훈, "선반 화물운송용 물류이송로봇의 개선된 주행알고리즘 연구" 한국지능시스템학회 28 (28): 436-442, 2018

      2 김영민, "모듈형 컨베이어 랙 기반 물류 이송 로봇의 설계 및 물류 센터 내 경로계획" 제어·로봇·시스템학회 22 (22): 83-88, 2016

      3 M. Deng, "Two-wheeled mobile robot motion control in dynamic environments" Elsevier BV 26 (26): 268-272, 2010

      4 윤한얼, "Subplanner Algorithm to Escape from Local Minima for Artificial Potential Function Based Robotic Path Planning" 한국지능시스템학회 18 (18): 263-275, 2018

      5 Jinho Kyung, "Real-time synchronisation method in multi-robot system" Institution of Engineering and Technology (IET) 50 (50): 1824-1826, 2014

      6 L. Dozio, "Real time distributed control systems using RTAI" 11-18, 2003

      7 Maxim Likhachev, "Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles" SAGE Publications 28 (28): 933-945, 2009

      8 N. T. Truc, "Navigation method using fuzzy line tracking for the transportation robot" 819-822, 2014

      9 N. V. Vui, "Motion planning algorithm for the transportation robot using QR code alignment" 130-134, 2017

      10 G. H. Lee, "Line Tracking Control of a Two-Wheeled Mobile Robot Using Visual Feedback" SAGE Publications 10 (10): 177-, 2013

      1 조재훈, "선반 화물운송용 물류이송로봇의 개선된 주행알고리즘 연구" 한국지능시스템학회 28 (28): 436-442, 2018

      2 김영민, "모듈형 컨베이어 랙 기반 물류 이송 로봇의 설계 및 물류 센터 내 경로계획" 제어·로봇·시스템학회 22 (22): 83-88, 2016

      3 M. Deng, "Two-wheeled mobile robot motion control in dynamic environments" Elsevier BV 26 (26): 268-272, 2010

      4 윤한얼, "Subplanner Algorithm to Escape from Local Minima for Artificial Potential Function Based Robotic Path Planning" 한국지능시스템학회 18 (18): 263-275, 2018

      5 Jinho Kyung, "Real-time synchronisation method in multi-robot system" Institution of Engineering and Technology (IET) 50 (50): 1824-1826, 2014

      6 L. Dozio, "Real time distributed control systems using RTAI" 11-18, 2003

      7 Maxim Likhachev, "Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles" SAGE Publications 28 (28): 933-945, 2009

      8 N. T. Truc, "Navigation method using fuzzy line tracking for the transportation robot" 819-822, 2014

      9 N. V. Vui, "Motion planning algorithm for the transportation robot using QR code alignment" 130-134, 2017

      10 G. H. Lee, "Line Tracking Control of a Two-Wheeled Mobile Robot Using Visual Feedback" SAGE Publications 10 (10): 177-, 2013

      11 Sven Koenig, "Lifelong Planning A∗" Elsevier BV 155 (155): 93-146, 2004

      12 S. Koenig, "Incremental heuristic search in AI" 25 (25): 99-112, 2004

      13 이기남, "Design of Fuzzy-PID Controller for Path Tracking of Mobile Robot with Differential Drive" 한국지능시스템학회 18 (18): 220-228, 2018

      14 조재훈, "Design of Autonomous Logistics Transportation Robot System with Fork-Type Lifter" 한국지능시스템학회 17 (17): 177-186, 2017

      15 S. Koenig, "D*Lite" 476-483, 2002

      16 S. Thrun, "A real-time algorithm for mobile robot mapping with applications to multirobot and 3D mapping" 321-328, 2000

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-02-18 학회명변경 한글명 : 한국퍼지및지능시스템학회 -> 한국지능시스템학회
      영문명 : Korea Fuzzy Logic And Intelligent Systems Society -> Korean Institute of Intelligent Systems
      KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.43 0.43 0.4
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.35 0.35 0.853 0.05
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