Title

Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS) for Mobile Robot Navigation

Document Type

Conference Proceeding

Publisher

Institue of Control, Robotics and Systems (ICROS)

Faculty

Computing, Health and Science

School

Computer & Security Science

RAS ID

10233

Comments

This article was originally published as: Lee, C. (2010). Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS) for Mobile Robot Navigation. Proceedings of International Conference on Control, Automation and Systems (ICCAS) 2010. (pp. 403-408). KINTEX, Gyeonggi-do, Korea. Institue of Control, Robotics and Systems (ICROS). Original article available here

Abstract

A new Rough-Fuzzy Controller is proposed to enhance the uncertainty reasoning process in control scheme in mobile robotics. The rough set theory and fuzzy logic system were utilized to calculate the `rough-fuzziness' for inputs from environments. The experimental results showed that the proposed rough-fuzzy controller performed better control behavior compared to other control methods in mobile robot navigation.

This document is currently not available here.

 
COinS