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Implementation of Context-Aware Based Robot Control System for Automatic Postal Logist ics

机译:基于上下文感知的自动邮政物流机器人控制系统的实现

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These days, the size of the Internet market, the use of parcels increases every year. Currently, in local delivery centers, the sorting of parcels has been processed manually. The manual process requires much time and high cost. Also it causes occupational injury and musculoskeletal diseases. Therefore it is necessary that the current method should be replaced with automatic smart robot manipulators. In this paper, we propose a robot control system with a context aware mechanism for generating information to control the movement of a robot, which automatically sorts parcels. The context aware mechanism generates intelligent information to control a robot using context data such as the parcel shape, weight, location and barcodes. Our robot control system collects context data of the parcel and carries out the reasoning of robot control data to pick up and drop parcels according to contexts. It also generates optimal delivery path using GIS engine. Then a robot manipulator, which receives control data of picking-up and dropping, processes the automated sorting of parcels according to delivery persons and delivery routes. It will be useful to save much time and cost by automating the parcel delivery sorting process, thus reducing frequency of industrial accidents.
机译:这些天来,互联网市场的规模,包裹的使用逐年增加。当前,在本地交付中心中,包裹的分类已手动进行。手动过程需要大量时间和高成本。它还会导致职业伤害和肌肉骨骼疾病。因此,有必要将当前的方法替换为自动智能机器人操纵器。在本文中,我们提出了一种具有上下文感知机制的机器人控制系统,该机制可生成信息以控制机器人的运动,该机器人可自动对包裹进行分类。上下文感知机制使用上下文数据(例如包裹形状,重量,位置和条形码)生成智能信息,以控制机器人。我们的机器人控制系统收集包裹的上下文数据,并根据上下文对机器人控制数据进行推理以提取和放置包裹。它还使用GIS引擎生成最佳交付路径。然后,一个机械手接收到收起和落下的控制数据,然后根据送货人员和送货路线对包裹进行自动分类。通过自动化包裹分拣过程节省大量时间和成本,从而减少工业事故发生的频率,将非常有用。

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