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Cited by 338

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MAPRM: a probabilistic roadmap planner with sampling on the medial axis of the free space

Wilmarth, S.A., Amato, N.M., Stiller, P.F.·2003·Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)

Abstract

Probabilistic roadmap planning methods have been shown to perform well in a number of practical situations, but their performance degrades when paths are required to pass through narrow passages in the free space. We propose a new method of sampling the configuration space in which randomly generated configurations, free or not, are retracted onto the medial axis of the free space. We give algorithms that perform this retraction while avoiding explicit computation of the medial axis, and we show that sampling and retracting in this manner increases the number of nodes found in small volume corridors in a way that is independent of the volume of the corridor and depends only on the characteristics of the obstacles bounding it. Theoretical and experimental results are given to show that this improves performance on problems requiring traversal of narrow passages.

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Metadata

Authors
Wilmarth, S. A., Amato, N. M., & Stiller, P. F.
Venue
Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)
Publisher
IEEE
Published
2003-01-20
Volume
2
Pages
1024-1031
ISSN
1050-4729 (ISSN-L)
OpenAlex
W1937587174
Cited by
338
References
1
FWCI
21.96
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: MAPRM: a probabilistic roadmap planner with sampling on the medial axis of the free space. https://app.cochat.ai/papers/10.1109/robot.1999.772448
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Wilmarth, S. A., Amato, N. M., & Stiller, P. F. (2003). MAPRM: a probabilistic roadmap planner with sampling on the medial axis of the free space. Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C). https://doi.org/10.1109/robot.1999.772448

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