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Dynamic electronic institutions in agent oriented cloud robotic systems.

Nagrath V, Morel O, Malik A, Saad N, Meriaudeau F - Springerplus (2015)

Bottom Line: In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents.DEIs in agent oriented cloud robotic ecosystems bring order and group intellect.This article presents DEI implementations through HTM5 methodology.

View Article: PubMed Central - PubMed

Affiliation: Laboratoire Le2i, UMR CNRS 6306, Le Creusot, 71200 France.

ABSTRACT
The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG's MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.

No MeSH data available.


ARC designs, physical robot experiments, simulation variability and results. The key observations from these representations are explained in Section 2.
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Fig8: ARC designs, physical robot experiments, simulation variability and results. The key observations from these representations are explained in Section 2.

Mentions: ARC designs, analysis of experimental results and a scaled down version of simulation experiments on physical TurtleBOTs is presented in Figures 8 and 9. Figure 8 Part I, II show the physical TurtleBOT robots on which the scaled down versions of the experiments were performed. The Agent Relation Charts for Simulated and physical experimental setup is shown in Figure 8 Part III, IV. Due to a lower number of physical robots, the physical experiments were based on location based institution seeds. This is unlike the simulated experiments where institution seeds are assigned to agents and not their parking locations. Some run time videos of the simulation experiments and experiments on the physical TurtleBOT robots are available at (Dynamic Electronic Institutions Digital Business Ecosystem and Peer to Peer Cloud Robotics Simulation Videos 2014).Figure 8


Dynamic electronic institutions in agent oriented cloud robotic systems.

Nagrath V, Morel O, Malik A, Saad N, Meriaudeau F - Springerplus (2015)

ARC designs, physical robot experiments, simulation variability and results. The key observations from these representations are explained in Section 2.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4352161&req=5

Fig8: ARC designs, physical robot experiments, simulation variability and results. The key observations from these representations are explained in Section 2.
Mentions: ARC designs, analysis of experimental results and a scaled down version of simulation experiments on physical TurtleBOTs is presented in Figures 8 and 9. Figure 8 Part I, II show the physical TurtleBOT robots on which the scaled down versions of the experiments were performed. The Agent Relation Charts for Simulated and physical experimental setup is shown in Figure 8 Part III, IV. Due to a lower number of physical robots, the physical experiments were based on location based institution seeds. This is unlike the simulated experiments where institution seeds are assigned to agents and not their parking locations. Some run time videos of the simulation experiments and experiments on the physical TurtleBOT robots are available at (Dynamic Electronic Institutions Digital Business Ecosystem and Peer to Peer Cloud Robotics Simulation Videos 2014).Figure 8

Bottom Line: In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents.DEIs in agent oriented cloud robotic ecosystems bring order and group intellect.This article presents DEI implementations through HTM5 methodology.

View Article: PubMed Central - PubMed

Affiliation: Laboratoire Le2i, UMR CNRS 6306, Le Creusot, 71200 France.

ABSTRACT
The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG's MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.

No MeSH data available.