Achieving Accurate Turns with LEGO SPIKE Prime Robots

摘要

LEGO SPIKE Prime robots (The LEGO Group, Billund, Denmark) are widely used in educational settings to foster STEM skills and develop problem-solving competencies. A common task in robotics classes and competitions is moving and controlling wheeled vehicles where precise manoeuvrability, especially turning, is essential for successful navigation. This study aims to provide a comprehensive analysis of the turning mechanisms of LEGO SPIKE Prime robots to facilitate more accurate and effective control. This research combines theoretical analysis with experimental validation. We mathematically derived formulas to relate wheel speeds and steering parameters to the turning radius, and we used regression analysis to refine our models. Additionally, we developed a method where the robot itself collects data on its turning performance, enabling autonomous regression modelling. We found that directly adjusting wheel speeds offers greater precision in turning than using a steering parameter. This finding is supported by the results of the Wilcoxon test, which was performed on a random sample of 30 elements and showed that the effect size is significant (r = 0.7) at a significance level of 0.05. This study provides educators and students with a detailed understanding of turning mechanisms and offers guidance on practical and effective means for achieving the accuracy and consistency needed in educational robotics and robot competitions.