Abstract
The paper presents an architecture for an autonomous robotic agent, which carries on a plan in a partially observable environment. A Supervisor module is in charge of assuring the correct execution of the plan, possibly by inferring alternative recovery plans when unexpected contingencies occur. In the present paper we describe a control strategy where a human user is directly involved in the control loop, and plays the role of advisor by helping the robotic agent both for reducing ambiguity in the robot’s observations, and for selecting the preferred recovery plan.
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Micalizio, R., Nuzzolo, G., Scala, E., Torasso, P. (2010). Involving the Human User in the Control Architecture of an Autonomous Agent. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice III. IFIP AI 2010. IFIP Advances in Information and Communication Technology, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15286-3_2
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DOI: https://doi.org/10.1007/978-3-642-15286-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15285-6
Online ISBN: 978-3-642-15286-3
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