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Drone-Based Material Transfer System in a Robotic Mobile Fulfillment Center
IEEE Transactions on Automation Science and Engineering ( IF 5.6 ) Pub Date : 2019-12-03 , DOI: 10.1109/tase.2019.2952523
Andy Ham

Deploying unmanned aerial vehicles, also known as drones, for final-mile delivery in logistics operations has inspired this research. One conceivable scenario is to use the drone to transfer jobs in a robotic mobile fulfillment center. Each job might be characterized by origin, destination, time window, and precedence relation. In particular, a take-away conveyor is continuously pushing forward shipping cartons, wherein drones must pick up jobs and drop them off to the cartons within the time window since the cartons would be closed and labeled at the end of the conveyor. Furthermore, each job contains two subtransfers for drone: flight from drone’s current location to pickup location and flight to dropoff location. Two exact approaches are proposed—a mixed integer programming and a constraint programming—and tested for a real-time perspective. Note to Practitioners —Inspired by Amazon’s significant expansion of its army of warehouse robots and the adaptation of drones for final-mile small parcel delivery, this article has mixed those two emerging technologies and proposed a drone-powered material transfer system in a warehouse, wherein jobs would be picked up by drone, transferred, and dropped off directly to shipping cartons. The most encouraging finding is that the proposed method impressively proved the optimality of 144 jobs with 10 drones that requires 28.8 transfers per drone on average, within 1 s.

中文翻译:

机器人移动履行中心中基于无人机的物料传输系统

部署无人驾驶飞机(也称为无人机)以在物流操作中进行最后一英里的交付,激发了这项研究。一种可能的方案是使用无人机在机器人移动履行中心转移工作。每个作业都可以通过起点,目的地,时间窗口和优先级关系来表征。特别地,外带式输送机连续地推动运输纸箱,其中无人机必须在时间窗口内拾取作业并将其放到纸箱中,因为纸箱将在输送机的末端被封闭并贴上标签。此外,每个作业都包含无人机的两个子转移:从无人机的当前位置到取件位置的飞行以及到下车位置的飞行。提出了两种精确的方法-混合整数编程和约束编程-并针对实时角度进行了测试。执业者注意 —受亚马逊仓库机器人队伍的显着扩展以及将无人机用于最后一英里小包裹交付的适应的启发,本文将这两种新兴技术混合在一起,并提出了在仓库中使用无人机驱动的材料传输系统,其中的工作将是由无人机捡起,转移并直接送到运输纸箱。最令人鼓舞的发现是,所提出的方法令人印象深刻地证明了10架无人机的144个作业的最优性,平均每架无人机需要18.8秒内进行28.8次传输。
更新日期:2020-04-22
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