Automatic domain modeling for human–robot interaction

This paper introduces an approach to automatic domain modeling for human–robot interaction. The proposed approach is symbolic and intended for semantically unconstrained task-oriented human–robot interaction domains. At the specification level, it is cognitively inspired, addressing selected cogniti...

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Bibliographic Details
Published in:Intelligent service robotics 2020, Vol.13 (1), p.99-111
Main Authors: Savić, Srđan Ž., Gnjatović, Milan, Stefanović, Darko, Lalić, Bojan, Maček, Nemanja
Format: Article
Language:English
Subjects:
Artificial Intelligence
Control
Dynamical Systems
Engineering
Mechatronics
Memory
Modelling
Neural networks
Original Research Paper
Robotics
Robotics and Automation
Robots
Semantics
User Interfaces and Human Computer Interaction
Vibration
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Summary:This paper introduces an approach to automatic domain modeling for human–robot interaction. The proposed approach is symbolic and intended for semantically unconstrained task-oriented human–robot interaction domains. At the specification level, it is cognitively inspired, addressing selected cognitive mechanisms of the human memory system (e.g., integration, semantic categorization, associative learning, etc.) that are relevant for natural language human–robot interaction. We discuss a corpus-based validation of the introduced approach and report on its particular implementation within the conversational agent integrated with a human-like robot.
ISSN:1861-2776
1861-2784
DOI:10.1007/s11370-019-00303-9