排爆机器人全覆盖路径规划方法
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江苏省高等学校自然科学基金(24KJD510004)


Full Coverage Path Planning Method for EOD Robot
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    摘要:

    为提高军事战场中复杂地形、危险区域的路径规划效率,提出一种基于螺旋生成树的全覆盖路径规划方法。利用多源传感器数据融合技术,界定排爆环境不可穿越区域,锁定连续弓形路径区块。根据创新性相邻区域连接准则,在全覆盖规划的前提下减少重复覆盖率,提升规划效率与质量。实验结果表明:在2种典型规格模拟排爆地图场景和实际测试中,排爆机器人全覆盖路径规划算法的路径规划覆盖率达100%,重复覆盖率分别为4%与5.4%,转弯次数为12与8次,减少了无效重复路径路段,在排爆机器人路径规划领域性能优异,具有广阔的应用潜力。

    Abstract:

    In order to improve the efficiency of path planning in complex terrain and dangerous areas in military battlefield, a full-coverage path planning method based on spiral spanning tree is proposed. The multi-source sensor data fusion technology is used to define the impenetrable area of the explosive disposal environment and lock the continuous arch path block. According to the innovative adjacent regional connection criteria, the duplicate coverage rate is reduced under the premise of full coverage planning, and the planning efficiency and quality are improved. The experimental results show that the path planning coverage rate of EOD robot is 100%, the repeated coverage rate is 4% and 5.4% respectively, and the number of turns is 12 and 8, which reduces the invalid repeated path sections and has excellent performance in the field of EOD robot path planning. It has wide application potential.

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董天天.排爆机器人全覆盖路径规划方法[J].,2026,45(02).

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  • 收稿日期:2024-11-15
  • 最后修改日期:2024-12-25
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  • 在线发布日期: 2026-03-13
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