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Creating High-quality Roadmaps for Motion Planning in Virtual Environments Roland Geraerts and Mark Overmars IROS 2006
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Requirements The roadmap –is resolution complete –is small –contains useful cycles –provides high-clearance paths res. complete, smalluseful cycleshigh-clearance paths
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Outline Reachability Roadmap Method (RRM) –Resolution complete roadmap –Small roadmap Adding useful cycles Adding clearance to the roadmap Experiments Conclusions & current work
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RRM – Criteria Coverage –Each free sample can be connected to a vertex in the graph Maximal connectivity –For each two vertices v’,v’’: If there exists a path between v’ and v’’ in the free space, then there exists a path between v’ and v’’ in the graph
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Reachability Roadmap Method Paper –R. Geraerts and M.H. Overmars. Creating small roadmaps for solving motion planning problems. MMAR 2005, pp. 531-536 Outline of algorithm –Discretizes the free space –Computes small set of guards –Guards are connected via connector –Resulting roadmap is pruned
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Adding Useful Cycles Paper –D. Nieuwenhuisen and M.H. Overmars. Useful cycles in probabilistic roadmap graphs. ICRA 2004, pp. 446-452 Useful edge –Edge (v,v’) is K-useful if K * d(v,v’) < G(v,v’) v’v
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Adding Useful Cycles Useful node –Node v is useful if there is an obstacle inside the cycle being formed v’ v’’ v
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Adding Useful Cycles Algorithm –Create RRM roadmap –Add useful nodes –Create a queue with all collision-free edges Queue is sorted on increasing edge length –Add edge from the queue to the graph if edge is K-useful RRMuseful nodesfinal roadmap
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Providing High-clearance Paths Paper –R. Geraerts and M.H. Overmars. Clearance based path optimization for motion planning. ICRA 2004, pp. 531-536 Retract edges to the medial axis –Retraction of a sample d d
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Providing High-clearance Paths Paper –R. Geraerts and M.H. Overmars. Clearance based path optimization for motion planning. ICRA 2004, pp. 531-536 Retract edges to the medial axis –Retraction of an edge
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Experimental Setup Field House Office Quake
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Experimental Results Field Graph statisticsPath statistics resolutiontechniquetime (s)|V||E|SPFavg query (ms) 94 x 94RRM RRM* 0.75 0.91 29 43 18 47 1.570 1.137 4.3 2.3 RRMRRM*RRRM
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Experimental Results Field Clearancetime minavgmaxs RRM* RRRM 0.03 0.34 2.71 3.08 6.44 6.4624 RRMRRM*RRRM
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Experimental Results Office Graph statisticsPath statistics resolutiontechniquetime (s)|V||E|SPFavg query (ms) 130x80RRM RRM* 1.10 2.70 154 167 147 180 1.812 1.181 3.8 3.6 RRMRRM*RRRM
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Experimental Results Office Clearancetime minavgmaxs RRM* RRRM 0.00 0.01 1.60 1.77 6.82 7.53320 RRMRRM*RRRM
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Experimental Results House Graph statisticsPath statistics resolutiontechniquetime (s)|V||E|SPFavg query (ms) 57 x 20 x40RRM RRM* 11.67 18.6834 33 34 1.225 1.2248.2 RRMRRM*RRRM
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Experimental Results House Clearancetime minavgmaxs RRM* RRRM 0.00 0.13 2.17 3.33 5.64 10.4149 RRMRRM*RRRM
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Experimental Results Quake Graph statisticsPath statistics resolutiontechniquetime (s)|V||E|SPFavg query (ms) 57 x 20 x40RRM RRM* 306.44 384.90 71 132 65 216 2.068 1.194 27.1 41.5 RRMRRM*RRRM
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Experimental Results Quake Clearancetime minavgmaxs RRM* RRRM 0.00 0.05 2.90 3.28 9.45 9.75343 RRMRRM*RRRM
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Conclusions High-quality roadmap –resolution complete –small –short and alternative paths –high-clearance paths –fast query times
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Future Work Corridor Map Method –Creating high-quality paths within 1 ms Paths are smooth, short or have large clearance –Method is flexible Paths avoid dynamic obstacles
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Future Work Corridor Map Method –Creating high-quality paths within 1 ms Paths are smooth, short or have large clearance –Method is flexible Paths avoid dynamic obstacles Smooth pathShort pathPath avoiding obstacles
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