The paper addresses the problem of supervising the execution of a plan with durative actions in a just partially known world, where discrepancies between the expected conditions and the ones actually found may arise. The paper advocates a control architecture which exploits additional knowledge to prevent (when possible) action failures by changing the execution modality of actions while these are still in progress. Preliminary experimental results, obtained in a simulated space exploration scenario, are reported.

Intelligent Supervision for Robust Plan Execution.

MICALIZIO, ROBERTO;SCALA, ENRICO;TORASSO, Pietro
2011-01-01

Abstract

The paper addresses the problem of supervising the execution of a plan with durative actions in a just partially known world, where discrepancies between the expected conditions and the ones actually found may arise. The paper advocates a control architecture which exploits additional knowledge to prevent (when possible) action failures by changing the execution modality of actions while these are still in progress. Preliminary experimental results, obtained in a simulated space exploration scenario, are reported.
2011
AI*IA 2011: Artificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence
Palermo
15/09/2011
AI*IA 2011: Artificial Intelligence Around Man and Beyond
SPRINGER
6934
151
163
9783642239533
http://link.springer.com/chapter/10.1007/978-3-642-23954-0_16
Plan Execution; Intelligent Supervision; Robotic Agents; Control Architecture
Roberto Micalizio; Enrico Scala; Pietro Torasso
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/89872
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