1. A method, in a data processing system comprising a processor and a memory, for classifying an obstacle as an asset type, comprising: receiving, by the data processing system, a digital image of an obstacle from an image capture device of an automated robot; performing, by the data processing system, a classification operation on the digital image of the obstacle to identify a proposed asset type classification for the obstacle; determining, by the data processing system, a final asset type for the obstacle based on the proposed asset type classification for the obstacle; and updating, by the data processing system, a map data structure for a physical premises in which the obstacle is present based on the final asset type, wherein performing the classification operation further comprises: gathering additional sensor information from one or more other sensors provided on either the robot or in the physical premises; and performing the classification operation based on a classification of characteristics of the obstacle obtained from analysis of the digital image and analysis of the additional sensor information, wherein the additional sensor information comprises information indicative of environmental conditions within a vicinity of the obstacle, that together with the digital image of the obstacle, are indicative of an asset type classification of the obstacle.