The paper presents recent work on using robust state-of-the-art AI Planning and Scheduling (P&S) techniques to provide autonomous capabilities in a space robotic domain. We have defined a simple robotic scenario, reduced it to a known scheduling problem which is addressed here with a constraint-based, resource-driven reasoner. We present an initial experimentation that compares different meta-heuristic algorithms.
Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting
Cesta Amedeo;Oddi Angelo;Rasconi Riccardo
2011
Abstract
The paper presents recent work on using robust state-of-the-art AI Planning and Scheduling (P&S) techniques to provide autonomous capabilities in a space robotic domain. We have defined a simple robotic scenario, reduced it to a known scheduling problem which is addressed here with a constraint-based, resource-driven reasoner. We present an initial experimentation that compares different meta-heuristic algorithms.File in questo prodotto:
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