Association Rules Path Identification Method Based on Location Specific Information: The Landmark Model

The great amount of algorithms that came from Artificial Intelligence and Robotic research studies were proposed to deal with navigation problem. In this paper we present a new path identification method, called Landmark Model that uses location specific information to create association rules for navigation on unknown working space. The main advantages of applying association rules mining to the navigation problem is clear sensor information representation. Recording sensor data and actions every time sensor input exists can form a data set that is analyzed in data mining procedure and a set of rules is generated that can solve navigation problem without extra computation on every local position.