Autonomous Control of Mobile Robots Using Logical Representation of Map and Inference of Location

We propose an action-decision method for autonomous mobile robots, in which a robot constructs a logical representation of a map of its surrounding environment from its perception and uses that map to determine a plan to logically reach its destination. We conducted an experiment in which a robot had a sub-goal to reach halfway to its destination and attempt to recognize that it has reached that sub-goal in order to proceed to the next goal. We first explain our experimental results then provide a discussion on these results and future work.