机器人货运包装的全面回顾

Logistics Pub Date : 2024-07-08 DOI:10.3390/logistics8030069
German Pantoja-Benavides, Daniel Giraldo, A. Montes, Andrea García, Carlos Rodríguez, César Marín, David Álvarez-Martínez
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引用次数: 0

摘要

背景:本综述探讨的是自动包装单元这一新兴领域,它是机器人技术和包装问题的交叉点。整合这两个领域对于优化物流和电子商务运营至关重要。目前的文献主要关注包装问题或特定的机器人应用,而没有涉及两者的整合。方法:为了弥补这一差距,我们对 46 项相关研究进行了全面回顾,分析了机器人包装单元的组件、包装问题类型、解决方法和性能比较等多个方面。研究结果我们的综述揭示了解决在线包装问题的重要趋势,这反映了物流操作的动态性质,即物品信息往往是不完整的。我们还发现了一些研究空白,例如需要标准化术语、综合方法以及在机器人算法中考虑现实世界的限制因素。结论:本综述独特地整合了机器人学和包装问题的见解,为未来研究提供了一个结构化框架。它强调了考虑实际机器人约束条件的重要性。它提出了一种研究结构,可增强现实世界场景中结果的可重复性和可比性。通过这样做,我们旨在指导未来的研究工作,促进开发更强大、更实用的自动包装系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Review of Robotized Freight Packing
Background: This review addresses the emerging field of automated packing cells, which lies at the intersection of robotics and packing problems. Integrating these two fields is critical for optimizing logistics and e-commerce operations. The current literature focuses on packing problems or specific robotic applications without addressing their integration. Methods: To bridge this gap, we conducted a comprehensive review of 46 relevant studies, analyzing various dimensions, including the components of robotic packing cells, the types of packing problems, the solution approaches, and performance comparisons. Results: Our review reveals a significant trend towards addressing online packing problems, which reflects the dynamic nature of logistics operations where item information is often incomplete. We also identify several research gaps, such as the need for standardized terminologies, comprehensive methodologies, and the consideration of real-world constraints in robotic algorithms. Conclusions: This review uniquely integrates insights from robotics and packing problems, providing a structured framework for future research. It highlights the importance of considering practical robotic constraints. It proposes a research structure that enhances the reproducibility and comparability of results in real-world scenarios. By doing so, we aim to guide future research efforts and facilitate the development of more robust and practical automated packing systems.
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