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Every Action-Based Sensor

Every Action-Based Sensor Grace McFassel, Dylan A. Shell Texas A&M University In studying robots and planning problems, a basic question is what is the minimal information a robot must obtain to guarantee task completion. Erdmann's theory of action-based sensors is a classical approach to characterizing fundamental information requirements. That approach uses a plan to derive a type of virtual sensor which prescribes actions that make progress toward a goal. The established theory is incomplete: the previous method for obtaining such sensors overlooks some sensors. Furthermore, there are plans, that achieve goals, where the existing methods are unable to provide any action-based sensor. We identify the underlying feature common to all such plans. Then, we show how to produce action-based sensors even for plans where the existing treatment is inadequate, although for these cases they have no single canonical sensor. Consequently, the approach is generalized to produce sets of sensors. Keywords: robot design problems, abstract sensors, planning problems