DocumentCode :
3520236
Title :
Lazy Toggle PRM: A single-query approach to motion planning
Author :
Denny, Jory ; Shi, Kangdao ; Amato, Nancy M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2013
fDate :
6-10 May 2013
Firstpage :
2407
Lastpage :
2414
Abstract :
Probabilistic RoadMaps (PRMs) are quite successful in solving complex and high-dimensional motion planning problems. While particularly suited for multiple-query scenarios and expansive spaces, they lack efficiency in both solving single-query scenarios and mapping narrow spaces. Two PRM variants separately tackle these gaps. Lazy PRM reduces the computational cost of roadmap construction for single-query scenarios by delaying roadmap validation until query time. Toggle PRM is well suited for mapping narrow spaces by mapping both Cfree and Cobst, which gives certain theoretical benefits. However, fully validating the two resulting roadmaps can be costly. We present a strategy, Lazy Toggle PRM, for integrating these two approaches into a method which is both suited for narrow passages and efficient single-query calculations. This simultaneously addresses two challenges of PRMs. Like Lazy PRM, Lazy Toggle PRM delays validation of roadmaps until query time, but if no path is found, the algorithm augments the roadmap using the Toggle PRM methodology. We demonstrate the effectiveness of Lazy Toggle PRM in a wide range of scenarios, including those with narrow passages and high descriptive complexity (e.g., those described by many triangles), concluding that it is more effective than existing methods in solving difficult queries.
Keywords :
mobile robots; path planning; high descriptive complexity; high-dimensional motion planning problems; lazy toggle PRM methodology; mapping narrow spaces; probabilistic roadmaps; query time; roadmap construction; roadmap validation; single-query approach; Algorithm design and analysis; Buildings; Collision avoidance; Computational efficiency; Image edge detection; Planning; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
ISSN :
1050-4729
Print_ISBN :
978-1-4673-5641-1
Type :
conf
DOI :
10.1109/ICRA.2013.6630904
Filename :
6630904
Link To Document :
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