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