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
Contributo in atti di convegno
Springer, Berlin, DEU
Modern Approaches in Applied Intelligence. 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Proceedings, pt. II (IEA/AIE 2011), pp. 216–225, Syracuse, USA, 28 June - 1 July 2011