Fragment-basedconformant planning (2002)

by J Kurien, P Nayak, D Smith
Venue:In Proceedings of the Sixth International Conference on Artificial IntelligencePlanning and Scheduling
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Planning under continuous time and resource uncertainty: A challenge for AI

by John Bresina, Nicolas Meuleauy, Sailesh Ramakrishnan, David Smith, Rich Washingtonx - In Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence , 2002
"... yQSS Group Inc. zQSS Group Inc. xRIACS experiment is assigned a scientific value). Different ob-servations and experiments take differing amounts of time and consume differing amounts of power and data storage.There are, in general, a number of constraints that govern the rovers activities: ffl Ther ..."
Abstract - Cited by 81 (13 self) - Add to MetaCart
yQSS Group Inc. zQSS Group Inc. xRIACS experiment is assigned a scientific value). Different ob-servations and experiments take differing amounts of time and consume differing amounts of power and data storage.There are, in general, a number of constraints that govern the rovers activities: ffl There are time, power, data storage, and posi-tioning constraints for performing different activities. Time constraints often result from illuminationrequirement--that is, experiments may require that a target rock or sample be illuminated with a certain in-tensity, or from a certain angle.