A Comprehensive Study of Using 2D Barcode for Multi Robot Labelling and Communication

Abstract

Multi robot is an emerging field in robotic research with surprisingly various open problems. Reports have been published stating the advantages of multi robot over conventional single robot, including reducing task completion time. One of the open problem as concentrated in this study is their communication. This study focuses on using a 2D QR barcode for robot labelling suitable for vision-based multi robot communication. The aim is to prove that QR barcode could be decoded in various distances as well as in different angles. Image sampling is done in controlled environment. A two-way ANOVA without repetition is used to analyze the image data in terms of successful QR decoding. ANOVA with significant level of critical α 0.05 is used and has justified that smallest variance at different distances and angular pose will give the best position in order to decode the respective QR barcode. Hence multi robot communication by means of labelling a QR label onto them has the possibilities for further research.