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Carnegie Mellon Robotics Institute

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Abstract

We outline a approach for closely integrating classical automated planning with scheduling in a manner designed to maximize the opportunity for leveraging the strengths of each. A fundamental capability needed to implement the system is an efficient resource-lifted planning graph, and we introduce the process for achieving it here. We report experimental evidence that the resource-abstracted model functions well and introduce an effective means of constraining the entailed search space via propagation through the planning graph of the set of valid resource instances for each proposition.

Keywords

planning, scheduling, planning graph, resources

Notes

Sponsor: NSF

Grant ID: 9900298

Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Intelligent Coordination and Logistics Laboratory

Number of pages: 7

Note: also supported by US AFRL- Rome Lab, contract F30602-02-2-0149

Text Reference

Terry Lyle Zimmerman and Stephen Smith , "Towards Integrated Planning and Scheduling: Resource Abstraction in the Planning Graph," AAAI 2005 Workshop on Integrating Planning into Scheduling, July, 2005, pp. 42-48.

BibTeX Reference

@inproceedings{Zimmerman_2005_5711,
   author = "Terry Lyle Zimmerman and Stephen {Smith }",
   title = "Towards Integrated Planning and Scheduling: Resource Abstraction in the Planning Graph",
   booktitle = "AAAI 2005 Workshop on Integrating Planning into Scheduling",
   pages = "42-48",
   publisher = "AAAI Press",
   address = "Menlo Park, CA",
   month = "July",
   year = "2005",
   Notes = "also supported by US AFRL- Rome Lab, contract F30602-02-2-0149"
}

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