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Fuzzy Robots Design Workshop

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Conference

2003 Annual Conference

Location

Nashville, Tennessee

Publication Date

June 22, 2003

Start Date

June 22, 2003

End Date

June 25, 2003

ISSN

2153-5965

Conference Session

Capstone Design and Engineering Practice

Page Count

9

Page Numbers

8.589.1 - 8.589.9

Permanent URL

https://peer.asee.org/11403

Download Count

28

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Paper Authors

author page

Marian Stachowicz

author page

Rocio Alba-Flores

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 1048

Fuzzy Mobile Robots: A Student Design Workshop Rocio Alba-Flores, Marian S. Stachowicz

Department of Electrical and Computer Engineering University of Minnesota Duluth, MN 55812

ralbaflo@d.umn.edu, mstachow@d.umn.edu

Abstract

This paper describes the Design Workshop course offered at the Electrical and Computer Engineering Department (ECE) at the University of Minnesota Duluth (UMD). This workshop course is one mechanism by which students completing the ECE program at UMD can satisfy the requirement for a senior design project. The design workshop topic for the spring 2002 was the use of fuzzy logic to control mobile robots. In this workshop, students worked in small groups and were required to design, build and program a mobile robot with intelligent behaviors using fuzzy logic. In this workshop no formal lectures were taught, however the students received an intensive review covering the topics of the 68HC12 microcontroller, principles of mobile robots, sensors, and fuzzy logic.

Introduction

In the last decade, the topic of mobile robots has become very attractive to engineering students. It has been shown that students working in this topic show more interest in learning digital electronics, microcontrollers, and analog circuits, and we think that this is because they see an immediate application of the subjects they are learning.

Fuzzy logic has emerged as a practical alternative that provides a convenient method to implement nonlinear controllers. Fuzzy controllers work differently than conventional controllers; expert knowledge is used instead of differential equations to describe a system. This knowledge can be expressed in a very natural way using linguistic variables, which are described by fuzzy sets.

Fuzzy logic-based systems can be found in a variety of applications such as the controlling of subway systems and complex industrial processes, as well as for household and entertainment electronics, diagnosis systems and other expert systems. Fuzzy logic has been used primarily on large-scale computing systems and personal computers. The introduction of Motorola's

Stachowicz, M., & Alba-Flores, R. (2003, June), Fuzzy Robots Design Workshop Paper presented at 2003 Annual Conference, Nashville, Tennessee. https://peer.asee.org/11403

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