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GAO Chun xiao, LIU Yu shu, ZHENG Jun. Radial Based Probabilistic Roadmap Motion Planning Method in Sparse Environment[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(1): 89-92.
Citation: GAO Chun xiao, LIU Yu shu, ZHENG Jun. Radial Based Probabilistic Roadmap Motion Planning Method in Sparse Environment[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(1): 89-92.

Radial Based Probabilistic Roadmap Motion Planning Method in Sparse Environment

Funds:theMinisterialLevelAdvancedResearchFoundation
  • Received Date:2001-06-30
  • A new dynamic path planning method in high dimensional workspace, radial based probabilistic roadmap motion (RBPRM) planning method, is presented. Different from general probabilistic roadmap motion planning methods, it uses straight lines as long as possible to construct a path graph, so the final path obtained from the graph is relatively shorter and straighter. Experimental results show the efficiency of the algorithm in finding shorter paths in sparse environment.
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  • [1]
    L atombe J C.Robot motion planning[M]. Boston,M A:K luwer Academic Publishers,1991.
    [2]
    Y ang S X,M eng M.An efficient neural networ k methodfor r eal t ime motion planning with safety consideration[J]. Robot&Auto nomous System,2000,32:115-128.
    [3]
    Dale L S,Song Guang,A mato N M.Faster,more effectiv e connection fo r probabilistic roadmaps[R]. CollegeStation,T ex as:Department of Computer Science,T ex asA&M U niversity,2000.
    [4]
    Boor V,Overmars M H,van der Stappen A F.T heG aussian sampling strateg y for probabilistic roadmap planners[Z]. T he 1999 IEEE International Conference onRobotics&Automat ion,Detr iot,M achigan,1999.
    [5]
    A mato N M,Bayazit O B,Dale L K,et al.OBPRM:A n obstacle based P RM for 3D w orkspaces[Z]. Inter national Workshop on Algor ithmic Foundations of Robo tics(WAF R),Houston,T exas,1998.
    [6]
    O ver mars M,Svestka P.A probabilistic learning approach to motion planning[Z]. International Wo rkshopon Alg orithmic Foundations of Robotics,Housto n,T ex as,1994.
    [7]
    Hsu D,Kavraki L E,L atombe J C,et al.On findingnarrow passages w ith probabilistic ro admap planners[Z]. International Wor kshop on Algor ithmic F oundations ofRobotics(W AFR),Houston,T ex as,1998.
    [8]
    K avraki L,Laumond J C.O n the ex pected complex ity ofr andom path planning[Z]. IEEE International Conference on Robotics&Automatio n,M inneapolis,1996.
    [9]
    vestka P,Ov ermars M H.M otion planning for car liker obots using a probabilist ic approach[J]. T he Inter national Journal o f Robotics Resear ch,1997,16(2):119-143.
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