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D2.1 Requirements and Specification - CORBYS

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<strong>D2.1</strong> <strong>Requirements</strong> <strong>and</strong> <strong>Specification</strong><br />

Requirement No.: DMO5<br />

Name: Device state integration with Device State Integrator (DSI)<br />

Description: Device ontology to assist device state integration<br />

Reason / Comments:<br />

Indicative priority M<strong>and</strong>atory<br />

7.3.2 Assumptions <strong>and</strong> Dependencies<br />

� Modelling the device ontology depends on input from partners regarding selected sensors <strong>and</strong><br />

actuators, other devices to be used in <strong>CORBYS</strong><br />

7.4 Self­Awareness Realisation (Task 4.2, UR)<br />

Self-Awareness supported by Situation Assessment is an essential part of a cognitive system. It allows the<br />

system to interact with the environment in the most efficient <strong>and</strong> sensible way without the interference of an<br />

external guide. The <strong>CORBYS</strong> Situation Assessment Architecture facilitates (i) awareness of available sensors<br />

<strong>and</strong> actuators (via the device ontology) <strong>and</strong> (ii) awareness about the relationship of these devices to the<br />

environment including humans. <strong>CORBYS</strong> Situation Assessment Architecture includes a number of modules<br />

such as semantic integrators for person, device/object/entity, ontological layer for devices, domain specific<br />

(Plug <strong>and</strong> Play) ontologies <strong>and</strong> a blackboard structure acting as a globally accessible facility for situation<br />

assessment.<br />

A Device State Integrator (DSI) acts as the interface or interpreter between the sensors/actuators <strong>and</strong> the core<br />

system, using the information in the device ontology. DSI fuses all the information <strong>and</strong> makes it available to<br />

the core-architecture for further processing via the blackboard.<br />

Awareness about the relationship to the environment entails positioning, interaction possibilities with the<br />

environment, potential workflows, process flows, process maps, etc. This information is provided by an<br />

Object State Integrator (OSI) which analyses the received input information from sensor data <strong>and</strong> creates a<br />

cognitive image of the environment.<br />

A Person State Integrator (PSI) allows for the representation of the interacting person, including information<br />

such as position of the person, profile integration etc.<br />

The integrated Situation-Awareness Blackboard (SAWBB) in <strong>CORBYS</strong> allows access to designated deviceagents<br />

for relevant updates of profiling knowledge as well as the person’s current states, events, <strong>and</strong><br />

behaviours detected by all the sensor <strong>and</strong> reasoning sub-systems. It serves to facilitate symbolic knowledge<br />

integration <strong>and</strong> inferencing at the higher semantic fusion, <strong>and</strong> enables appropriate dynamic data/knowledge<br />

sharing regarding the semantic parametric values of the situated operational context.<br />

SAWBB is a layered architecture supporting the sharing <strong>and</strong> integration of data at various levels of abstraction<br />

including raw data from sensors etc; the upper layer being in the form of an event h<strong>and</strong>ler/look up table <strong>and</strong><br />

the second layer taking the form of a database to store historic <strong>and</strong> profiling information. SAWBB is a part of<br />

the high level Cognitive <strong>CORBYS</strong> control architecture; the connection of the Situation Assessment<br />

Architecture with the module responsible for perceiving, focusing, cognition, learning <strong>and</strong> responding to<br />

environment. An important part of this module is the internal representation of the robot internal self-model<br />

<strong>and</strong> self-state awareness which allow the system to reason <strong>and</strong> act based on its status, the context of assigned<br />

task <strong>and</strong> event anticipation. Two types of memory will be realised, i.e. one representing the current state of<br />

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