Application of Cloud Computing for Optimization of Tasks Scheduling by Multiple Robots Operating in a Co-operative Environment

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The paper describes the application of cloud computing in the field of robotics where the location of one robot can be obtained by the other robot by consulting database housed in the cloud. The robots are allotted to transport the jobs lying on the floor to the given spaces. It is assumed that each job has a particular destination where it is to be kept. Cloud minimizes calculation overhead of the robots as the cloud calculates the shortest path of pickup of the jobs and transportation to the given spaces for both the robots thereby reducing the need of heavy processor for the robots. The robots use the storage of the cloud and so they can get the data they need by querying the cloud.

Cite

CITATION STYLE

APA

Kar, A., Dutta, A. K., & Debnath, S. K. (2019). Application of Cloud Computing for Optimization of Tasks Scheduling by Multiple Robots Operating in a Co-operative Environment. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 26, pp. 118–125). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03146-6_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free