Survey on Cloud Based Robotics Architecture, Challenges and Applications
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How to Cite

Shakya, Subarna. 2020. “Survey on Cloud Based Robotics Architecture, Challenges and Applications”. Journal of Ubiquitous Computing and Communication Technologies 2 (1): 10-18. https://doi.org/10.36548/jucct.2020.1.002.

Keywords

— Robotics
— Cloud Computing
— Cloud Based Robotics
— Big Data
— Internet of Things
— Open Source
— Challenges and Applications
Published: 09-03-2020

Abstract

The emergence of the cloud computing, and the other advanced technologies has made possible the extension of the computing and the data distribution competencies of the robotics that are networked by developing an cloud based robotic architecture by utilizing both the centralized and decentralized cloud that is manages the machine to cloud and the machine to machine communication respectively. The incorporation of the robotic system with the cloud makes probable the designing of the cost effective robotic architecture that enjoys the enhanced efficiency and a heightened real- time performance. This cloud based robotics designed by amalgamation of robotics and the cloud technologies empowers the web enabled robots to access the services of cloud on the fly. The paper is a survey about the cloud based robotic architecture, explaining the forces that necessitate the robotics merged with the cloud, its application and the major concerns and the challenges endured in the robotics that is integrated with the cloud. The paper scopes to provide a detailed study on the changes influenced by the cloud computing over the industrial robots.

References

  1. Chowdhury, Akash, Swastik Mukherjee, and Sourav Banerjee. "An Approach towards Survey and Analysis of Cloud Robotics." Detecting and Mitigating Robotic Cyber Security Risks (2017): 208.
  2. Abou Allaban, Anas, Maozhen Wang, and Taşkın Padır. "A Systematic Review of Robotics Research in Support of In-Home Care for Older Adults." Information 11, no. 2 (2020): 75.
  3. Pakkala, Daniel, Jani Koivusaari, Pekka Pääkkönen, and James Spohrer. "An Experimental Case Study on Edge Computing based Cyber-Physical Digital Service Provisioning with Mobile Robotics." In Proceedings of the 53rd Hawaii International Conference on System Sciences. 2020.
  4. Toffetti, Giovanni, and Thomas Michael Bohnert. "Cloud Robotics with ROS." In Robot Operating System (ROS), pp. 119-146. Springer, Cham, 2020.
  5. Urrea, Claudio, and Rodrigo Matteoda. "Development of a virtual reality simulator for a strategy for coordinating cooperative manipulator robots using cloud computing." Robotics and Autonomous Systems 126 (2020): 103447.
  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. Aagela, Hamza. "CCRP: A Novel Clone-Based Cloud Robotic Platform for Multi-Robots." PhD diss., University of Huddersfield, 2019.
  9. Li, Gaofeng, Hongpeng Wang, Xin Ying, and Jingtai Liu. "A proxy-based cloud infrastructure for home service robots." In The 27th Chinese Control and Decision Conference (2015 CCDC), pp. 5718-5723. IEEE, 2015.
  10. Barriquello, Carlos Henrique, F. E. S. Silva, Daniel Pinheiro Bernardon, Luciane Neves Canha, M. J. D. S. Ramos, and Daniel Sperb Porto. "Fundamentals of Wireless Communication Link Design for Networked Robotics." Service Robots (2018): 127-142.
  11. Riazuelo, Luis, Moritz Tenorth, Daniel Di Marco, Marta Salas, Dorian Gálvez-López, Lorenz Mösenlechner, Lars Kunze et al. "RoboEarth semantic mapping: A cloud enabled knowledge-based approach." IEEE Transactions on Automation Science and Engineering 12, no. 2 (2015): 432-443.
  12. Yuan, Wei, Pan Deng, Tarik Taleb, Jiafu Wan, and Chaofan Bi. "An unlicensed taxi identification model based on big data analysis." IEEE Transactions on Intelligent Transportation Systems 17, no. 6 (2015): 1703-1713.
  13. Wang, Yang, and Clarence W. De Silva. "An object transportation system with multiple robots and machine learning." In Proceedings of the 2005, American Control Conference, 2005., pp. 1371-1376. IEEE, 2005.
  14. Wang, Ying, and Clarence W. de Silva. "Extend single-agent reinforcement learning approach to a multi-robot cooperative task in an unknown dynamic environment." In The 2006 IEEE International Joint Conference on Neural Network Proceedings, pp. 4999-5005. IEEE, 2006.
  15. Agüero, Carlos E., Nate Koenig, Ian Chen, Hugo Boyer, Steven Peters, John Hsu, Brian Gerkey et al. "Inside the virtual robotics challenge: Simulating real-time robotic disaster response." IEEE Transactions on Automation Science and Engineering 12, no. 2 (2015): 494-506.
  16. Gouveia, Bruno Duarte, David Portugal, Daniel C. Silva, and Lino Marques. "Computation sharing in distributed robotic systems: A case study on SLAM." IEEE Transactions on Automation Science and Engineering 12, no. 2 (2014): 410-422.
  17. Salmerón-Garcı, Javier, Pablo Inigo-Blasco, Fernando Dı, and Daniel Cagigas-Muniz. "A tradeoff analysis of a cloud-based robot navigation assistant using stereo image processing." IEEE Transactions on Automation Science and Engineering 12, no. 2 (2015): 444-454.
  18. Shu, Zhaogang, Jiafu Wan, Di Li, Jiaxiang Lin, Athanasios V. Vasilakos, and Muhammad Imran. "Security in software-defined networking: Threats and countermeasures." Mobile Networks and Applications 21, no. 5 (2016): 764-776.
  19. Chen, Min, Yin Zhang, Yong Li, Shiwen Mao, and Victor CM Leung. "EMC: Emotion-aware mobile cloud computing in 5G." IEEE Network 29, no. 2 (2015): 32-38.
  20. Chen, Min. "NDNC-BAN: supporting rich media healthcare services via named data networking in cloud-assisted wireless body area networks." Information Sciences 284 (2014): 142-156.
  21. Chen, Min, Yixue Hao, Yong Li, Chin-Feng Lai, and Di Wu. "On the computation offloading at ad hoc cloudlet: architecture and service modes." IEEE Communications Magazine 53, no. 6 (2015): 18-24.
  22. Manoharan, S., & Ponraj, N. (2019). Precision improvement and delay reduction in surgical telerobotics. Journal of Artificial Intelligence, 1(01), 28-36.
  23. Smys, S., & Ranganathan, G. (2019). Robot assisted sensing, control and manufacture in automobile industry. Journal of ISMAC, 1(03), 180-187.
  24. Valanarasu, M. R. (2019). Smart and secure iot and ai integration framework for hospital environment. Journal of ISMAC, 1(03), 172-179.
  25. Vijayakumar, T. (2019). Flexible robotic electronic skin with high sensitivity sensor arrays. Journal of Electronics, 1(01), 43-51.