Automatic Task Generator With Incomplete Information For A Robot Endowed With Sensors
Daniel M. Kumpel, Ricardo García Rosa · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
We show an automatic task or plan generator which is able of finding the solution of a problem without knowing all the information about its current state. Therefore, for achieving the proposed goal, modifying actions over the real world, which will be carried out through an industrial robot, are not enough. Also searching information actions are essential. This is accomplished by sensorial devices. The chosen knowledge representation is a new production system, that is expanded by the parallel planning method and is modified by the addition of an optimizing level composed by heuristics or evaluation functions. The plan generator allows to solve problems that have interacting subgoals without resorting to backtracking, reordering partial plans and patches.