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

Abstract

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.