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Improving Sampling-Based Path Planning Methods with Fast Marching

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 253))

Abstract

Sampling-based path planning algorithms are well-known because they are able to find a path in a very short period of time, even in high-dimensional spaces. However, they are non-smooth, random paths far away from the optimum. In this paper we introduce a novel improving technique based on the Fast Marching Method which improves in a deterministic, non-iterative way the initial path provided by a sampling-based methods. Simulation results show that the computation time of the proposed method is low and that path length and smoothness are improved.

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Correspondence to Javier V. Gómez .

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© 2014 Springer International Publishing Switzerland

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Gómez, J.V., Álvarez, D., Garrido, S., Moreno, L. (2014). Improving Sampling-Based Path Planning Methods with Fast Marching. In: Armada, M., Sanfeliu, A., Ferre, M. (eds) ROBOT2013: First Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-319-03653-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-03653-3_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03652-6

  • Online ISBN: 978-3-319-03653-3

  • eBook Packages: EngineeringEngineering (R0)

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