Abstract: Disclosed herein are a multi-target analysis apparatus and method. The multi-target analysis apparatus includes: an input/output interface configured to receive data and output the results of computation of the data; storage configured to store a program for performing a multi-target analysis method; and a controller provided with at least one process, and configured to analyze multiple targets received through the input/output interface by executing the program. The controller is further configured to: collect instruction-target pairs in each of which an instruction and state information for a target are matched with each other so that the target is specified through the instruction, and generate an instruction-target set having a plurality of instruction-target pairs; and train a reinforcement learning-based learning model configured to receive the instruction for the target and the state information for the target and output action information by referring to the instruction-target set.

Abstract: A map merging method for an electronic apparatus which includes: obtaining information about a first local map of a first apparatus, a pose of the first apparatus in the first local map, a second local map of a second apparatus, a pose of the second apparatus in the second local map, and an image of the second apparatus obtained by the first apparatus; identifying a relative pose of the second apparatus relative to the first apparatus from the image using a first trained artificial neural network; transforming the second local map to correspond to the first local map based on the relative pose, the pose of the first apparatus, and the pose of the second apparatus; and merging the first local map and a transformed second local map transformed in the transforming the second local map to output a merged map is provided.