A hybrid hierarchical operator-based planning approach for the design of control programs.
Luis A. Castillo, Juan Fdez-Olivares, Antonio González · 2000
The design of a control program is a complex process whose result must satisfy very restrictive constraints imposed by new manufacturing systems needs as flexibility, quick response, correctness and low-cost building process. Current AI Planning approaches for the synthesis of control programs are proving to be very useful to satisfy these needs. But they have to be extended in order to build efficient and realistic systems which obtain truly real world solutions. This work presents an approach in this direction which mixes hierarchical and POCL techniques in order to build an architecture closer to the way that control engineers reason in order to design a control program. The utility of this approach is shown along this paper.