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Fog robotics

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Fog Robotics(FR) can be defined as an architecture which consists of storage, networking functions, control with decentralized computing closer to robots.[1][2]

It mainly consists of a fog robot server and the cloud.[3] It also acts as a companion to cloud by shoving the data near to the user with the help of a local server. Moreover, these servers are adaptable, consists of processing power for computation, network capability, and secured by sharing the outcomes of robots to other robots for advanced performance with the lowest possible latency. [2]

As Cloud robotics is facing issues such as bandwidth limitations, latency issues, quality of service, privacy and security - Fog Robotics can be seen as a viable option for the future robotic systems. [4] It is also considered as distributed robot systems of the next generation because robots require lots of brain power for processing billions of computations while performing its task. [5] For instance, Fog Robotics can play a virtual role in helping a robot to grasp a spray bottle. [6]

Applications

Social robots

A social robot can either connect to the cloud or fog robot server depending upon the availability of information. For instance, it can make a robot working at an airport to communicate with other robots for effective communication with the help of fog robotics. [7]

Research

Secure Fog Robotics Using the Global Data Plane [8]

Fog Assisted Robotics [9]

Fog Computing for Robotics and Industrial Automation [10]

Product Development

Nebbiolo Technologies, Inc recently demonstrated Fog Robotics, and Fog Applications at Hannover-Messe, Hannover, Germany.[11]

See also

References

  1. ^ Fog Robotics: An Introduction. Gudi, S.L.K.C., et al. IEEE/RSJ International Conference on Intelligent Robots and Systems. 2017
  2. ^ a b Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction. Gudi, S.L.K.C., et al. IEEE 17th International Symposium on Network Computing and Applications (NCA) 2018
  3. ^ Fog Robotics: A New Approach to Achieve Efficient and Fluent Human-Robot Interaction. Ingrid Fadelli, ECN Magazine, USA 2018
  4. ^ Getting a Grip on Reality: Deep Learning and Robot Grasping Matthew Panzarino, TechCrunch, 2018
  5. ^ Robots and the return to collaborative intelligence. Ken Goldberg, Nature Machine Intelligence, 2019
  6. ^ Robots can't hold stuff very well, but you can help Matt Simon, Wired, 2018
  7. ^ Fog robotics: A new approach to achieve efficient and fluent human-robot interaction. Ingrid Fadelli, Tech Xplore, UK 2018
  8. ^ "Secure Fog Robotics Using the Global Data Plane". Retrieved 29 January 2019.
  9. ^ "Fog Assisted Robotics" (PDF). Retrieved 29 January 2019.
  10. ^ "Fog Computing for Robotics and Industrial Automation". Retrieved 29 January 2019.
  11. ^ Nebbiolo Technologies™ showcasing latest fog computing platform at Hannover-Messe Fair 2018, Germany