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Artificial Intelligence for Mobility and Maneuver (AIMM) World Model Progress Report: Spatial Concepts in Route Reconnaissance
This report summarizes a small selection of research on qualitative spatial reasoning in the context of world modeling in the US Army Combat Capabilities Development Command Army Research Laboratory autonomy architecture. Our focus is on a simple robot, an autonomous system capable of sensing and navigating through its environment, on a route reconnaissance mission. Four types of qualitative representations are covered: regions, based on the Region Connection Calculus; paths, based on the Trajectory Calculus; orientation, based on the Cardinal Direction Calculus and the Rectangle Algebra; and qualitative distances. Each of these areas is evaluated with respect to coverage of a set of qualitative relations associated with route reconnaissance. Current status is summarized and directions for the future are outlined.
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