A Holistic Cloud-Enabled Robotics System for Real-Time Video Tracking Application

  • Bingwei Liu
  • Yu Chen
  • Erik Blasch
  • Khanh Pham
  • Dan Shen
  • Genshe Chen
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 276)


Future distributed sensor fusion applications will require efficient methods of information management such as Cloud computing. Using a server-based cloud-enabled software architecture would increase performance over hardware constraints (e.g., power, memory, and processors). In this paper, we propose a comprehensive framework for information fusion demonstrated for Cloud Robotics, which possesses user favorable features such as good scalability and elasticity. Robots are connected together to form a networked robotic system that is able to accomplish more computationally intensive tasks. Supported by the emerging Cloud computing technology, cloud-enabled robotic systems (CERS) provide even more powerful capabilities to users, yet keeping the simplicity of a set of distributed robots. Through an experimental study, we evaluate the memory, speed, and processors needed for a video tracking application.


Cloud computing image tracking robot networks 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Bingwei Liu
    • 1
  • Yu Chen
    • 1
  • Erik Blasch
    • 2
  • Khanh Pham
    • 3
  • Dan Shen
    • 4
  • Genshe Chen
    • 4
  1. 1.Department of Electrical and Computer EngineeringBinghamton University, SUNYBinghamtonUSA
  2. 2.Air Force Research LaboratoryRomeUSA
  3. 3.Air Force Research LaboratoryKirtland AFBAlbuquerqueUSA
  4. 4.Intelligent Fusion Technology, Inc.GermantownUSA

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