We describe an approach to robot introspection based on self observation and communication. Self observation is what the robot should do in order to build, represent and understand its internal state. It is necessary to translate the state representation in order to build a suitable input to an ontology that supplies the meaning of the internal state. The ontology supports the linguistic level that is used to communicate information about the robot state to the human user.

Humanoid Introspection: A Practical Approach

Infantino Ignazio;Pilato Giovanni;Rizzo Riccardo;Vella Filippo
2013

Abstract

We describe an approach to robot introspection based on self observation and communication. Self observation is what the robot should do in order to build, represent and understand its internal state. It is necessary to translate the state representation in order to build a suitable input to an ontology that supplies the meaning of the internal state. The ontology supports the linguistic level that is used to communicate information about the robot state to the human user.
2013
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Humanoid
Introspection
Neural Networks
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/263952
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