Fast Path-Planning Algorithm for Mobile Robots via Straight Strategy

RRT*, which augments the RRT with the ChooseParent and Rewire steps, is a widely used algorithm for path planning. RRT*-based algorithms are effective for improving the quality of paths in the Rewire step. However, as the expansion continues, there are more nodes to be inspected, which can slow down the path search. In addition, due to the parameters set in the rewire step, a trade-off issue between path quality and planning time arises. In this paper, we propose Straight-RRT to improve upon these limitations. Straight-RRT applies the Straight strategy to rapidly obtain an initial path and then returns a refined path using the MoveParent strategies. Accordingly, Straight-RRT adopts the following mechanisms. (1) The Straight strategy is applied for rapidly finding an initial path. This procedure quickly finds a feasible initial path. (2) MoveParent is a strategy inspired by parametric equations for path optimization. This complements the weaknesses of the Straight strategy and the limitations of the triangle inequality. The MoveParent strategy is applied bidirectionally. These procedures progressively refine the path and improve efficiency. We propose an algorithm that is faster than other algorithms using these strategies and minimizes the trade-off caused by parameter settings. In the experimental comparison results across most environments, our approach achieved shorter planning times than the compared baseline algorithms and produced paths of comparable quality.

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Publication Details

Journal
Applied Sciences
Published
2026-02-15
DOI
https://doi.org/10.3390/app16041952
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Fast Path-Planning Algorithm for Mobile Robots via Straight Strategy

Jihong Jeong, Jin-Woo Jung
Applied Sciences
Robotic Path Planning Algorithms
article

Fast Path-Planning Algorithm for Mobile Robots via Straight Strategy

Jihong Jeong, Jin-Woo Jung
article en

Abstract

RRT*, which augments the RRT with the ChooseParent and Rewire steps, is a widely used algorithm for path planning. RRT*-based algorithms are effective for improving the quality of paths in the Rewire step. However, as the expansion continues, there are more nodes to be inspected, which can slow down the path search. In addition, due to the parameters set in the rewire step, a trade-off issue between path quality and planning time arises. In this paper, we propose Straight-RRT to improve upon these limitations. Straight-RRT applies the Straight strategy to rapidly obtain an initial path and then returns a refined path using the MoveParent strategies. Accordingly, Straight-RRT adopts the following mechanisms. (1) The Straight strategy is applied for rapidly finding an initial path. This procedure quickly finds a feasible initial path. (2) MoveParent is a strategy inspired by parametric equations for path optimization. This complements the weaknesses of the Straight strategy and the limitations of the triangle inequality. The MoveParent strategy is applied bidirectionally. These procedures progressively refine the path and improve efficiency. We propose an algorithm that is faster than other algorithms using these strategies and minimizes the trade-off caused by parameter settings. In the experimental comparison results across most environments, our approach achieved shorter planning times than the compared baseline algorithms and produced paths of comparable quality.

Applied SciencesVol. 16(4)
Dongguk University (KR)
Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Commercializations Promotion Agency for R and D Outcomes, Institute for Information and Communications Technology Promotion
Decent work and economic growth
Openalex Percentile: Top 54%
Robotic Path Planning Algorithms
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