Task management of robot using cloud computing

A. Kar, A. Dutta, S. Debnath
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引用次数: 3

Abstract

In this paper, we describe the application of cloud computing in the field of robotics where a robot is assigned the job of picking up sticks lying in the floor and to keep them in the given space. The robot is connected to the cloud through a network. It receives the answer to the queries of the database residing in the cloud about the location of the sticks to be picked up and receives the coordinates of the location of the spaces where it is to be kept. The robot offloads the calculation of the distances of every stick from it and the distances of the spaces from the sticks and the sequence of the sticks and the spaces where it is to be kept. The cloud calculates the sequence of the sticks to be picked up by the robot and the location of the space where each stick is to be kept. Cloud computing minimizes the memory of the robot as the database, which may be very voluminous, are kept in the Cloud. It also reduces the need of the robot for high processor as the complex calculation is to be done in the cloud. It is assumed that the number of spaces is more than the number of sticks to be kept. So the calculation has the option of choosing the spaces that minimizes the total distance travelled by the robot.
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基于云计算的机器人任务管理
在本文中,我们描述了云计算在机器人领域的应用,其中一个机器人被分配的工作是捡起躺在地板上的棍子并将它们保持在给定的空间中。机器人通过网络连接到云端。它接收驻留在云中的数据库关于要捡起的棒子的位置的查询的答案,并接收要保存棒子的空间的位置坐标。机器人将计算出每根木棒与它之间的距离,以及与木棒之间的空间距离,以及木棒的顺序和应该保持木棒的空间。云计算出机器人要捡起的木棒的顺序,以及每个木棒的存放空间位置。云计算最大限度地减少了机器人的内存,因为数据库可能非常庞大,保存在云中。由于复杂的计算是在云中完成的,因此减少了机器人对高处理器的需求。假设空间的数量大于要保留的棍棒的数量。因此,计算可以选择使机器人总行程最小的空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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