By Eleni Mangina, Javier Carbo, Jose Manuel Molina
Ubiquitous computing is the 3rd wave in computing, the place the common use of latest cellular technology-implementing instant communications equivalent to own electronic assistants (PDAs) and clever telephones permits a brand new form of complex functions. some time past years, the focus of analysis in cellular providers has geared toward the each time, wherever precept (ubiquitous computing). although, there's extra to it than that.
The expanding call for for disbursed challenge fixing resulted in the advance of multi-agent structures. The latter are shaped from a set of self reliant software program entities whose collective abilities might be utilized in complicated and real-time domain names. the objective of such structures is to illustrate how goal-directed, powerful and optimum habit can come up from interactions among person self sufficient clever software program brokers. those software program entities show features like autonomy, responsiveness, pro-activeness and social skill. Their performance and effectiveness has confirmed to be hugely depending on the layout and improvement of the applying area or context.
Context is the set of compatible environmental states and settings pertaining to a person, that's suitable for a situation-sensitive software within the means of adapting the companies and knowledge provided to the consumer. Agent expertise looks the best know-how to supply the potential for exploring the dynamic context of the person with the intention to supply value-added prone or to execute extra and intricate projects. during this appreciate, agent-based ubiquitous computing can reap the benefits of marrying the agent-based know-how with the wide use of disbursed performance, to be deployed for light-weight units. It additionally allows the combo of ubiquity and intelligence in several software parts and permits to process a number of learn themes in computing device technological know-how, synthetic intelligence and engineering from a brand new perspective.
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Extra resources for Agent-based ubiquitous computing
6 SoSAA nodes for MiRA Chameleons. the user, while the user can use his gaze direction to spatially reference objects and way-points in order to influence the robot’s behaviour. 1) and augmenting the system’s HRI capabilities by merging these parts into a single agent. Fig. 7 Collaboration between user and robot node. The nature of the functional components deployed on each node depends on the node type. g. text-based) functionalities. g. task- and environment-related information, knowledge bases, configuration) or to a robot’s hardware.
G. about each other’s identity, and also agree on migrating some functionalities from the user node to the robot node before the robot enters the visual field of the user’s HMD. After this first connection, and until robot and human depart from each other, the two nodes will then collaborate to deliver a MiRA composed of the real robot and a virtual character visualised through the user’s HMD. 4 Testbed An example will better illustrate how the functionalities of MiRA Chameleon are implemented availing of the SoSAA framework.
The nature of the functional components deployed on each node depends on the node type. g. text-based) functionalities. g. task- and environment-related information, knowledge bases, configuration) or to a robot’s hardware. Finally, functional components in MiRA’s MR wearable interfaces are similar to those deployed on robot nodes, although the hardware in this case is constituted by the virtual models of the MiRA’s virtual characters, while data-processing components encapsulate AR-tracking functionalities or proxy-type components consuming sensors data transmitted by the robots.