开发自主移动机器人的动态路径规划系统,使用多代理系统方法.
Bradley Fourie1, Louis Louw1, Günter Bitsch2
1Department of Industrial Engineering, Stellenbosch University, Stellenbosch 7600, South Africa.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究介绍了工业4.0灵活制造系统 (FMS) 中自动移动机器人 (AMR) 的动态路径规划系统. 这种新的方法确保了多个AMR在动态环境中的高效,无冲突的导航.
科学领域:
- 机器人和自动化 机器人和自动化
- 人工智能的人工智能
- 工业工程 工业工程 工业工程
背景情况:
- 工业4.0依赖于自主移动机器人 (AMR) 进行内部物流.
- 灵活制造系统 (FMS) 对抗药物耐药性路径规划提出了动态挑战.
- 对于多AMR冲突管理,需要可扩展的,分散的解决方案.
研究的目的:
- 在FMS中开发AMR的动态路径规划系统.
- 为了实现对干扰的反应性适应和跨布局的概括.
- 在一个分散的架构中整合多AMR冲突避免.
主要方法:
- 一个多代理系统 (MAS) 架构与软件AMR代理.
- 一种混合基因算法 (GA),使用基于细胞的分解 (CBD) 来进行路径优化.
- 代排除原则 (IEP) 用于避免多种AMR冲突,包括预测性碰撞避免 (PCA).
主要成果:
- 成功避免了多达9个AMR的死锁,具有良好的可扩展性.
- 在模拟的FMS中对静态和动态障碍物进行强大的适应.
- 证明了稳定的运行时间和一致的路径质量.
结论:
- 基于GA和MAS的混合方法可用于复杂工业环境中的动态抗药性控制.
- 该系统有效地管理多个AMR并避免FMS中的冲突.
- 这项研究有助于在工业4.0中的高效和可靠的内部物流.
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