An Educational Fuzzy-based Control platform using LEGO Robots

TL;DR

This paper introduces an educational platform using LEGO NXT robots to teach fuzzy logic control principles through hands-on experiments, enhancing undergraduate learning in control systems.

Contribution

It presents a simple, effective LEGO-based fuzzy control platform designed specifically for undergraduate education, with successful application and evaluation in university courses.

Findings

Improved student understanding of fuzzy control fundamentals.

Effective hands-on robotic experiments for teaching control principles.

Positive impact on student performance in control courses.

Abstract

Fuzzy controllers have gained popularity in the past few decades with successful implementations in many fields that have enabled designers to control complex systems through linguistic-based rules in contrast to traditional methods. This paper presents an educational platform based on LEGO\c{opyright} NXT to assist the learning of fuzzy logic control principles at undergraduate level by providing a simple and easy-to-follow teaching setup. The proposed fuzzy control study aims to accompany students to the learning of fuzzy control fundamentals by building hands-on robotic experiments. The proposed educational platform has been successfully applied to several undergraduate courses within the Electronics Department in the University of Guadalajara. The description of robotic experiments and the evaluation of their impact in the student performance are both provided in the paper.