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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Dynamic electronic institutions in agent oriented cloud robotic systems.

Vineet Nagrath1, Olivier Morel1, Aamir Malik2

  • 1Laboratoire Le2i, UMR CNRS 6306, Le Creusot, 71200 France.

Springerplus
|March 13, 2015
PubMed
Summary
This summary is machine-generated.

Cloud robotics integrates cloud computing for robot applications. Dynamic Electronic Institutions (DEIs) managed by the HTM5 methodology bring order and collective intelligence to agent-based cloud robotic systems.

Keywords:
Business modelCloud computingCloud roboticsDynamic electronic institutionsModel driven engineeringPeer-to-peer system

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Area of Science:

  • Computer Science
  • Robotics
  • Artificial Intelligence

Background:

  • The early 2000s saw a shift towards cloud computing, a business model leveraging existing technologies for resource virtualization.
  • Cloud robotics applies cloud computing principles to robotic systems, focusing on integrating robots with cloud infrastructure.
  • Existing cloud robotics research often overlooks the business model implications of these integrations.

Purpose of the Study:

  • To present the implementation of Dynamic Electronic Institutions (DEIs) within agent-oriented cloud robotic systems.
  • To demonstrate how the HTM5 methodology facilitates DEI implementation for enhanced robotic ecosystems.
  • To explore the role of DEIs in establishing order and group intellect in peer-to-peer cloud robotic environments.

Main Methods:

  • Utilizing the HTM5 Meta-model, an OMG's MDA-based framework for agent-oriented cloud robotic systems.
  • Implementing Dynamic Electronic Institutions (DEIs) for automated formation, reformation, and dissolution of agent groups.
  • Leveraging HTM5 agents to represent cloud entities and manage business logic in peer-to-peer interactions.

Main Results:

  • DEIs enable automated runtime adaptations in agent groups within cloud robotic ecosystems.
  • HTM5 methodology provides a framework for implementing DEIs, fostering structured agent interactions.
  • Peer-to-peer trade in cloud robotics is facilitated through agent relationships and contracts managed by DEIs.

Conclusions:

  • DEIs, implemented via HTM5, introduce order and collective intelligence into agent-oriented cloud robotic systems.
  • The HTM5 methodology supports the development of robust, adaptable, and intelligent cloud robotic ecosystems.
  • This work highlights the significance of structured agent interactions for advancing cloud robotics.