In the last years, considerable research has been carried out to develop robots that can
improve our quality of life during tedious and challenging tasks. In these contexts, robots …

The world we live in is becoming ever more reliant on the use of electronics and computers
to control the behavior of real-world resources. For example, an increasing amount of …

Autonomous mobile robots navigating in changing and dynamic unstructured environments
like the outdoor environments need to cope with large amounts of uncertainties that are …

This paper presents a new strategy for behavior-based navigation of field mobile robots on
challenging terrain, using a fuzzy logic approach and a novel measure of terrain …

This text is an introduction to Simulink, a companion application to MATLAB. It is written for
students at the undergraduate and graduate programs, as well as for the working …

Behavior-based neuro-fuzzy controller for mobile robot navigation - Instrumentation and
Measurement, IEEE Transactions on Page 1 IEEE TRANSACTIONS ON INSTRUMENTATION …

This paper provides an overview on evolutionary learning methods for the automated design
and optimization of fuzzy logic controllers. In a genetic tuning process, an evolutionary …

This study proposes a fuzzy logic approach to model and simulate pedestrian dynamical
behaviors, which takes full advantage of human experience and knowledge and perceptual …

A new behavior‐based fuzzy control method for mobile robot navigation is presented. It is
based on behavioral architecture which can deal with uncertainties in unknown …

Mobile Robot Navigation is an advanced technique where static, dynamic, known and
unknown environment is involved. In this research, Genetic Algorithm (GA) is used to assist …