A Method Integrating RRT and A-Star Algorithms to Enhance Obstacle Navigation and Optimization

Yin, Shichao (2025) A Method Integrating RRT and A-Star Algorithms to Enhance Obstacle Navigation and Optimization. In: Proceedings of the 4th International Conference on Computing Innovation and Applied Physics, CONF-CIAP 2025, 17-23 January 2025, Eskişehir, Turkey.

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Abstract

This paper addresses the issue of path planning for robots in complex
environments by proposing a hybrid path planning method that integrates the Rapidly
Exploring Random Trees Algorithm(RRT) and the A-STAR Search Algorithm(A-Star).
The method leverages the rapid exploration capability of the RRT

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 18:28
Last Modified: 16 Apr 2026 21:37
URI: http://eprints.eai.eu/id/eprint/52580

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