An argumentation-based dialogue system for human-robot collaboration

Authors:
Mohammad Q. Azhar;Simon Parsons;Elizabeth Sklar
Affiliations:
Borough of Manhattan Community College, The City University of New York, New York, NY, USA;Brooklyn College, The City University of New York, New York, NY, USA;Brooklyn College, The City University of New York, New York, NY, USA
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

Citing 4
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SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Using argumentation to reason about trust and belief1

Journal of Logic and Computation

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Abstract

Human-robot collaboration may fail due to conflicts in beliefs or plans between cooperating partners, or due to robot errors. Dialogue is an intuitive way to resolve such conflicts due to miscommunication. The research demonstrated here explores the notion of using argumentation-based dialogue for human-robot interaction. The demonstration presents a proof-of-concept prototype of a logic-based dialogue framework grounded in argumentation theory that addresses the "what to say" problem in human-robot communication during a collaborative task. A simulated human-robot treasure hunt game is shown, where a robot searches for objects of interest in a region that is not accessible to a human and interacts with the human in order to interpret its sensor data and complete the task effectively.