Enhancing Path Planning for Autonomous Robots in Large, Obstacle-Crowded Environments: A Practical Improvement to the PRM Algorithm

Probabilistic roadmap (PRM) approximation algorithm has been successful in solving many motion planning problems. However, when faced with crowded areas, PRM tends to suffer from excessive computation times and produce suboptimal solutions. In this research, we present an enhancement to PRM and intr...

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Bibliographic Details
Main Authors: Shimon Aviram, Eugene Levner
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/joro/9569965
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