给货物贴智能标签,机器人自动优先搬运急件。
Enabling Urgency-aware Robot Swarm Intralogistics using Smart IoT Tags

- 物品自带低功耗蓝牙标签,实时广播紧急程度。
- 物理实验中急件优先配送率从41%提升至64%。
- 无需中央调度,适合低成本自动化仓库。
仓库中不同货物的运输紧迫性各异:易腐品、药品和准时生产物料需优先运送。去中心化的机器人蜂群适用于无法承担固定自动化设施的仓库,但现有蜂群控制器对所有货物一视同仁,或依赖外部调度设定优先级,导致急件等待时间过长。本文提出一种蜂群物流系统:每个仓储载体配备超低功耗物联网(IoT)标签,通过蓝牙低能(BLE)广播其所载物品的紧急程度。机器人直接读取广播信息,结合紧急程度与路程距离决策服务顺序,实现无需中央调度的物品级优先处理。系统在仿真中验证,并在真实机器人与带标签载体上对比仅依赖距离的基线方案进行测试。物理实验中,急件优先匹配率由0.41提升至0.64,95百分位交付延迟无显著下降,吞吐量保持在基线的1.2%以内。仿真中,随着系统规模增大,95百分位延迟降低5.2%至11.8%,优先匹配率提升41.7%至51.6%。将紧急程度绑定于物品本身,使去中心化蜂群可在不增加基础设施的前提下,更及时响应时间敏感货物。
原文摘要 · Abstract (English)
Warehouse items differ in how urgently they must be moved: perishable goods, pharmaceutical shipments, and just-in-time production materials must be delivered sooner than the rest of the stock. Decentralised robot swarms suit warehouses that cannot justify fixed automation infrastructure, but current swarm controllers treat all items alike or rely on an external scheduler to set priorities, so urgent items wait as long as ordinary ones. This paper presents a swarm logistics system in which each warehouse carrier holds an ultra-low-power Internet-of-Things (IoT) tag that broadcasts the urgency of its item over Bluetooth Low Energy (BLE). Robots read these broadcasts directly and weigh urgency against travel distance when choosing which carrier to serve, so prioritisation happens at the item level without central scheduling. The system is evaluated in simulation and validated on real robots and IoT-tagged carriers against a proximity-only baseline. In the physical trials, priority alignment (i.e. proportion of urgent items served first), improved from 0.41 to 0.64, with a nonsignificant trend toward lower 95th-percentile (P95) delivery latency and throughput within 1.2% of the baseline. In simulation, the benefit grew with system size: across three larger configurations, P95 latency fell by 5.2% to 11.8% and priority alignment improved by 41.7% to 51.6%. Attaching urgency to the items themselves therefore allows a decentralised swarm to serve time-critical stock sooner while keeping the low infrastructure requirements that make swarm systems attractive for warehouse automation.
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