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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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摘要

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:自动导引车(AGV的)都被视为有前途的手段对未来快递业很多物流公司。几个基于AGV输送系统已经被提出,但他们一般都在提供,并通过磁铁线定位的行李,如维护成本高的缺点,这是很难改变AGV的轨迹。这篇文章认为,使用多的AGV交货机器人协调,并在大型国际机场行李排序。该系统具有扩大行李分拣的准确性和交付的优点。由于不准确的运输效率,与时间相关的随机行李输送系统提出并随机模型构建根据航班信息表征运行的优先级和最优路径规划多AGV的。在所提出的系统,超宽带技术的应用,实现精确定位和导航在行李配送中心多AGV的。此外,基于时间窗口规则的最优路径规划算法和快速随机树算法被认为是为了避免碰撞和可操作性的限制,并确定每个AGV运行路径是否是可行的,最优的。计算机模拟以证明该方法的性能。

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