Spatial layout planning of cable based on a hybrid method combining interference obstacle local post-insertion and improved Dubins curves
Cables in three-dimensional (3D) wall-adherent routing must simultaneously satisfy terminal direction vectors and bending curvature constraints, making forward design and precise pre-cutting a significant challenge. To address this, this paper proposes a hybrid planning method, termed IOLPDC, which combines interference obstacle local post-insertion with improved Dubins curves. The approach first utilizes an undirected graph spanning tree to unfold the 3D routing environment into a two-dimensional (2D) plane. Within this 2D domain, a multi-waypoint Dubins curve is introduced, and a post-insertion strategy is developed. This strategy generates a highly efficient Dubins path by initially ignoring obstacles, followed by binary-tree detouring, pruning, and redundant waypoint elimination to achieve a high-quality feasible path satisfying both directional and curvature constraints. Additionally, for local non-wall-adherent regions arising during 3D reconstruction, an engineering transition solver based on a 3D Dubins path is implemented via a Differential Evolution algorithm. Simulation results in a planar environment demonstrate that compared with Hybrid A* and RRT*Dubins, the proposed IOLPDC method reduces path length by 13.23% and 8.51%, and shortens median planning time by 50.00% and 34.38%, respectively. Experimental verification confirms that cables pre-cut according to the planned lengths precisely match the actual routed paths, effectively eliminating the traditional “cut-to-fit” process and demonstrating strong engineering practicality.
Authors
- Songkai Liu (ORCID: https://orcid.org/0000-0002-5214-5135)
- Chao Kang (ORCID: https://orcid.org/0000-0003-3072-5494)
- Xiaoyang Zhang (ORCID: https://orcid.org/0000-0001-8456-0547)
- Bing Cai (ORCID: https://orcid.org/0000-0002-3632-9866)
- Bo Deng
- Zhigang Xu
Institutions
- Shenyang Institute of Automation (CN)
- Chinese Academy of Sciences (CN)
- Jiangsu University of Science and Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-10-05
- DOI
- https://doi.org/10.1371/journal.pone.0359351
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00