Controlling complex physical systems through planning and scheduling integration

Authors:
Amedeo Cesta;Simone Fratini
Affiliations:
Institute for Cognitive Science and Technology, Italian National Research Council, Viale Marx, Rome, Italy;Institute for Cognitive Science and Technology, Italian National Research Council, Viale Marx, Rome, Italy
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

Citing 9
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Abstract

This paper presents a framework for planning and scheduling integration based on a uniform constraint-based representation. Such representation is inspired to time-line based planning but has the unique characteristic of conceiving both resource and causal constraints as abstract specifications that generate segments of temporal evolution to be scheduled on the time-line. This paper describes the general idea behind this type of problem solving, shows how it has been implemented in a software architecture called Omp, and presents an example of application for the generation of mission planning commands for automating the management of spacecraft operations.