An Approach towards Survey and Analysis of Cloud Robotics

An Approach towards Survey and Analysis of Cloud Robotics

Akash Chowdhury, Swastik Mukherjee, Sourav Banerjee
Copyright: © 2020 |Pages: 24
DOI: 10.4018/978-1-7998-1754-3.ch094
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This chapter highlights the total structure and capabilities of robotic systems. This chapter then discusses the invocation of cloud technology in robotics technology empowering the whole system with higher processing power and bigger storage unit which was not possible earlier in the conventional robotic system being restricted in on-board manipulation. The flexibility of handling big data, ability to perform cloud computing, crowed sourcing and collaborative robot learning using the cloud robotics technology has been discussed briefly. This chapter describes concepts of Cloud Enabled Standalone Robotic System (CeSRS), Cloud Enabled Networked Robotic System (CeNRS), Cloud Robotic Networking System (CRNS), Standalone Robotic System (SRS), Common Networked Robotic (CNRS), Infrastructure As A Service (IAAS), Multi Robot System, R/R and R/C Network, ROS, Tele Operated Robotic System, Quality of Service (QoS), Virtual Machine (VM) and Cloud Datacenter. The existing applications of the cloud robotics technology are also described. However, the chapter focuses on the problems either inherited from the parent technology or appeared in the child technology. This chapter further recommends some solutions, new future directions and research aspects of the cloud robotics technology depending on the applications.
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2. Background

In industrial manufacturing units many repetitive jobs need to be done faster to increase the rate of production. It is a very tedious and tiring job for humans to do. Robots in this environment can perform way better than humans with much more perfection and thus increases the productivity of the manufacturing unit and also make the unit cost efficient having lesser number of employees. So robotics has become a culmination of the modern era.

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