Improvement and application of heuristic search in multi-robot path planning

Zhan Yongxiang, Z. Lei
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引用次数: 4

Abstract

In future, Automatic handling robot system will play an important role in the enterprise logistics system. The core part of this system is robots path planing. In this paper, we studied mulit-robot path planing algorithm under the demand of logistics corporation. After comparing the classic path search algorithms with tradition path planning in logistics company, we focus on the defect in these plans such as conflict. A new improved algorithm based on heuristic search are proposed. In order to fix these problem, this algorithm use a right value estimation function which base on the local path shape and a local adjustment accroding to time window to solve the problem of path adaptability and conflicts of time and space. What's more this paper experimentally confirmed the validity of the algorithm mentioned above.
启发式搜索在多机器人路径规划中的改进与应用
未来,自动搬运机器人系统将在企业物流系统中发挥重要作用。该系统的核心部分是机器人的路径规划。本文研究了物流企业需求下的多机器人路径规划算法。在比较了经典路径搜索算法和传统路径规划算法的基础上,重点分析了传统路径规划算法存在的冲突等缺陷。提出了一种新的基于启发式搜索的改进算法。为了解决这些问题,该算法采用基于局部路径形状的右值估计函数和基于时间窗的局部调整来解决路径自适应和时空冲突问题。并通过实验验证了上述算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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