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Sensor-network-based navigation of delivery robot for baggage handling in international airport

机译:基于传感器网络的交付机器人导航,用于国际机场的行李处理

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Automated guided vehicles (AGVs) have been regarded as a promising means for the future delivery industry by many logistic companies. Several AGV-based delivery systems have been proposed, but they generally have drawbacks in delivering and locating baggage by magnet line, such as the high maintenance cost, and it is hard to change the trajectory of AGV. This article considers using multi-AGVs as delivery robots to coordinate and sort baggage in the large international airport. This system has the merit of enlarging the accuracy of baggage sorting and delivering. Due to the inaccurate transportation efficiency, a time-dependent stochastic baggage delivery system is proposed and a stochastic model is constructed to characterize the running priority and optimal path planning for multi-AGVs according to the flight information. In the proposed system, ultra-wideband technology is applied to realize precisely positioning and navigation for multi-AGVs in the baggage distribution center. Furthermore, the optimal path planning algorithm based on time-window rules and rapidly exploring random tree algorithm is considered to avoid collision and maneuverability constraints and to determine whether the running path for each AGV is feasible and optimal. Computer simulations are conducted to demonstrate the performance of the proposed method.
机译:自动化导向车辆(AGVS)被认为是许多后勤公司未来送货业的有希望的手段。已经提出了几种基于AGV的递送系统,但它们通常通过磁铁线提供和定位行李,例如高维护成本,并且难以改变AGV的轨迹。本文考虑了使用多AGVS作为交付机器人,以协调和排序大型国际机场。该系统具有扩大行李分类和交付的准确性的优点。由于运输效率不准确,提出了一种时间依赖的随机行李递送系统,并且构建了随机模型,以表征根据飞行信息的运行优先级和多AGV的最佳路径规划。在所提出的系统中,应用超宽带技术,实现了行李分配中心的多架子的精确定位和导航。此外,考虑了基于时间窗规则和快速探索随机树算法的最佳路径规划算法,避免了冲突和机动性约束,并确定每个AGV的运行路径是否可行和最佳。进行计算机仿真以证明所提出的方法的性能。

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