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.

Involving the Human User in the Control Architecture of an Autonomous Agent

MICALIZIO, ROBERTO;SCALA, ENRICO;TORASSO, Pietro
2010-01-01

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.
2010
Third IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2010
Brisbane (Australia)
September 2010
Artificial Intelligence in Theory and Practice III
Springer
13
22
9783642152856
http://link.springer.com/chapter/10.1007/978-3-642-15286-3_2
Autonomous Agent; Situation Awareness; Plan Execution; Replanning
Roberto Micalizio; Giancarlo Nuzzolo; Enrico Scala; Pietro Torasso
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/80992
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