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An empirical analysis of cloud based robotics: challenges and applications

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Abstract

Applications of robots play an important role in autonomous systems, and with the dawning of cloud computing technologies, it can be upgraded to another level. This paper presents an in-depth review of the works based on cloud robotics, applications which were upgraded using cloud computing platforms. Some of the most utilized cloud platforms are AWS, Google Cloud, Azure and many more. This paper mainly focuses on the different applications of robotics deployed in recent times on to the cloud platform. After adding the computational capabilities of cloud platform a significant improvement in terms of robotics application parameters has been observed. This particular improvement is being keenly observed and discussed in the paper. This paper intends to review the several parameters of robotics application and their performance with the cloud computing platforms and bring the researchers’ attention to opt for cloud technology for robotics application. To validate the hypothesis, a small contribution is also being presented in the paper. The implementation of path planning for single robots and coordination mechanism for multi-robot using the cloud is discussed and presented in the paper. A thorough comparison of robotics application parameters and their specific cloud technology is analysed and presented in the paper. In the end, the paper proves and concludes that cloud-based robots are the future technology that will make robot more smarter and efficient which will make it more acceptable in the coming time.

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Correspondence to Mimansha Saini.

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Saini, M., Sharma, K. & Doriya, R. An empirical analysis of cloud based robotics: challenges and applications. Int. j. inf. tecnol. 14, 801–810 (2022). https://doi.org/10.1007/s41870-021-00842-4

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