Interactive image tools for autonomous spelling robot

Abstract

This research proposes a simple but reliable command card encoding system, image recognition, and interpretation techniques for reading the command cards and a letter cube image recognition system for a twoarmed autonomous spelling and cube-stacking robot. The command cards are used for issuing commands to the robot so that people can ask the robot to execute specific actions. By using unique identification marks and encoding systems, the command cards can be quickly recognized and correctly interpreted by the robot. The card is still readable even when one corner is covered by fingers. The letter cube recognition system developed in this research uses a white background inside a black square frame as the target feature. This system can identify a letter cube viewed from different angles and distances, and then recognize the letters printed on the cube by a template matching method. The two vision-recognition systems serve as reliable image interaction tools for the multifunctional robot to receive commands from the card and execute the requested actions in a fully autonomous manner.