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A paradigm for probabilistic path planning

P. Švestka, M.H. Overmars

Year
1995
Citations
10

Abstract

4 Application to nonholonomic robots, and experimental results 12 4.1 Application to general carlike robots . . . . . . . . . . . . . . . . . . . . . . . 14 4.1.1 Filling in the details . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.1.2 Experimental results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 4.2 Application to forward carlike robots . . . . . . . . . . . . . . . . . . . . . . . 17 4.2.1 Experimental results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 4.3 Application to tractor-trailer robots . . . . . . . . . . . . . . . . . . . . . . . 18 4.3.1 Experimental results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Keywords

RobotNonholonomic systemMotion planningPath (computing)Probabilistic logicTrailerComputer scienceMobile robotArtificial intelligenceEngineering

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