International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

All about Cloud Robotics

Abstract

The rise of the distributed computing, and the other cutting edge innovations has made conceivable the expansion of the processing and the information circulation skills of the advanced mechanics that are organized by fostering a cloud based automated design by using both the brought together and decentralized cloud that is deals with the machine to cloud and the machine to machine correspondence individually. The consolidation of the automated framework with the cloud makes plausible the planning of the savvy mechanical design that partakes in the upgraded effectiveness and an increased constant presentation. This cloud based advanced mechanics planned by mixture of advanced mechanics and the cloud advances engages the web empowered robots to get to the administrations of cloud on the fly. The paper is a review about the cloud based mechanical patterns and engineering, clarifying the powers that require the advanced mechanics converged with the cloud, its application and the central issues and the difficulties suffered in the mechanical technology that is incorporated with the cloud. The paper extensions to give a point by point study on the progressions impacted by the distributed computing over the modern robots likewise its future.

Country : India

1 Khushi Shah2 Drashti Shah3 Prof. Pankaj Rathod

  1. Student, Dept of IT, Shri Bhagubhai Mafatlal Polytechnic, Mumbai, India
  2. Student, Dept of IT, Shri Bhagubhai Mafatlal Polytechnic, Mumbai, India
  3. 3Lecturer, Dept of IT, Shri Bhagubhai Mafatlal Polytechnic, Mumbai, India

IRJIET, Volume 6, Issue 1, January 2022 pp. 110-118

doi.org/10.47001/IRJIET/2022.601019

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References

  1. Guoqiang Hu and Wee Peng Tay " Cloud Robotics: Architecture Challenges And Applications", Nanyang Technological University China 2020.
  2. JiafuWan, Hehua Tan , "Cloud Robotics : Current Status And Open Issues" Lulea college, South China University China 2016.
  3. Dr. Subarna Shakya, "Review On Cloud Robotics Architecture, Challenges and Applications" Tribhuvan University, Nepal 2020.
  4. Wuhai Chen, Yuichi Yaguchi. "A Study Of Robotic Cooperation In Cloud Robotics: Architecture And Challenges" Sun Yat-sen University 2016.
  5. KeitaroNarusse, "Cloud Robotics" School of software engineering and Engg, college of AIZU , Japan 2018.
  6. Ichnowski, Jeffrey, Jan Prins, and Ron Alterovitz. "The Economic Case for Cloud-Based Computation for Robot Motion Planning." In Robotics Research, pp. 59-65, Springer, Cham, 2020.
  7. da Silva Pereira, Diego, Bruno Agenor Santana, Rosiery Silva Maia, and Anderson Souza. "A cloud robotics architecture clone based for a cellbots team." IEEE Latin America Transactions 15, no. 9 (2017): 1587-1594.
  8. Salvini, P., Laschi, C., and Dario, P., ―Do Service Robots Need a Driving Licence?, ‖ IEEE Robotics and Automation Magazine, vol. 18, no. 2, 2011, pp.12-13.
  9. k. kamei et al. Cloud Networked Robotics Network, IEEE, 2012 - ieeexplore.ieee.org
  10. Ben Kehoe et al., ―Cloud-Based Robot Grasping with the Google Object Recognition Engine.‖, ICRA-2013.
  11. A.Koubâa, M.-F. Sriti, Y. Javed, M. Alajlan, B. Qureshi, F. Ellouze, and A. Mahmoud, ‘‘MyBot: Cloud-based service robot using service-oriented architecture,’’ Robotica, vol. 107, pp. 8–13, Jun. 2017.
  12. C. Lesire, G. Infantes, T. Gateau, and M. Barbier, ‘‘A distributed architecture for supervision of autonomous multi-robot missions: Application to air-sea scenarios,’’ Auto. Robots, vol. 40, no. 7, pp. 1343–1362, Oct. 2016, doi: 10.1007/s10514-016-9603-z.
  13. J. Lambrecht and E. Funk, ‘‘Edge-enabled autonomous navigation and computer vision as a service: A study on mobile robot’s onboard energy consumption and computing requirements,’’ in Proc. Iberian Robot. Conf., 2019, pp. 291–302.
  14. G. Mohanarajah, V. Usenko, M. Singh, R. D’Andrea, and M. Waibel, ‘‘Cloud-based collaborative 3D mapping in real-time with low-cost robots,’’ IEEE Trans. Autom. Sci. Eng., vol. 12, no. 2, pp. 423–431, Apr. 2015.
  15. C. E. Agüero et al., ‘‘Inside the virtual robotics challenge: Simulating realtime robotic disaster response,’’ IEEE Trans. Autom. Sci. Eng., vol. 12, no. 2, pp. 494–506, Apr. 2015.
  16. G. Hu, W. P. Tay, and Y. Wen, ‘‘Cloud robotics: Architecture, challenges and applications,’’ IEEE Netw., vol. 26, no. 3, pp. 21–28, May/Jun. 2012.
  17. I.M.Rekleitis, G. Dudek, and E. E. Milios, ‘‘Multi-robot cooperative localization: A study of trade-offs between efficiency and accuracy,’’ in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., vol. 3. Sep. 2002, pp. 2690–2695.
  18. M. Chen, Y. Qian, Y. Hao, Y. Li, and J. Song, ‘‘Data-driven computing and caching in 5G networks: Architecture and delay analysis,’’ IEEE Wireless Commun., vol. 25, no. 1, pp. 70–75, Feb. 2018.
  19. H. He, S. Kamburugamuve, G. C. Fox, and W. Zhao, ‘‘Cloud based realtime multi-robot collision avoidance for swarm robotics,’’ Int. J. Grid Distrib. Comput., vol. 9, no. 6, pp. 339–358, Sep. 2016.
  20. G. Mohanarajah, V. Usenko, M. Singh, R. D’Andrea, and M. Waibel, ‘‘Cloud-based collaborative 3D mapping in real-time with low-cost robots,’’ IEEE Trans. Autom. Sci. Eng., vol. 12, no. 2, pp. 423–431, Apr. 2015.

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