基于改进可视性图的自主机器人全局路径规划

N. Tran, D. Nguyen, Duc-Lung Vu, N. Truong
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引用次数: 12

摘要

本文试图提出一种高效的自主机器人系统,特别是陆基移动机器人全局最优路径规划算法。该方法依赖于一种改进的可见性图,它是计算机几何中经典的组合规划路线图,能够保留完整的特征并减少计算时间,特别是在实际环境中存在大量障碍物的情况下。通过大量的实验结果证明,所开发的技术优于原始的可见性图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global path planning for autonomous robots using modified visibility-graph
This paper attempts to propose an efficient algorithm for global optimized path planning for autonomous robotics system, particularly land-based mobile robot. The presented approach relies on a modified visibility-graph, a classic roadmap of combinatorial planning in computer geometry which is able to retain the complete-feature as well as to reduce computation time, especially in the situation of numerous obstacles existed in practical environment. The developed technique outperforms the original visibility-graph, which is demonstrated through extensive experimental results.
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