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在多层酒店环境中机器人配送的路径规划问题
Linghui Han1, Junzhe Ding1, Songtao Liu1
1School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China.
Sensors (Basel, Switzerland)
|April 28, 2025
概括
本研究介绍了一种新的算法,用于3D酒店环境中的多机器人协作路径规划. 它通过考虑机器人数量和电梯时间来优化交付效率,解决资源不平衡问题.
科学领域:
- 机器人和自动化 机器人和自动化
- 运营研究 运营研究
- 物流和供应链管理的物流和供应链管理.
背景情况:
- 机器人越来越多地用于运输和配送,路径规划对性能至关重要.
- 现有的研究主要集中在单机器人系统或酒店特定需求上,对3D空间中的多机器人协作进行了有限的探索.
研究的目的:
- 解决复杂,三维,多层酒店环境中的多机器人协作路径规划的差距.
- 调查环境因素和系统参数对交付效率的影响.
主要方法:
- 制定了多机器人路由问题作为多次车辆路由问题 (MTVRP),将电梯建模为隐性路点.
- 开发并应用了自适应的大邻里搜索 (ALNS) 算法来解决NP难题.
- 通过对Gurobi.bi进行比较实验验证实ALNS算法.
主要成果:
- 拟议的ALNS算法有效地处理复杂的3D交付场景.
- 交付效率受到机器人数量和电梯运行时间的重大影响.
- 识别了资源利用失衡,一些机器人被过度使用,影响了系统稳定性和寿命.
结论:
- 在3D空间中高效的多机器人路由对于优化酒店等复杂环境中的交付系统至关重要.
- 在这种情况下,ALNS算法为多机器人协作路径规划提供了可行的解决方案.
- 需要进一步优化,以解决资源分配的不平衡,并确保系统的寿命.
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