Autonomous mobile robot is a mobile robot that can move without human supervision. The
use of autonomous mobile robots has increased in various fields such as in the industrial …

This paper describes the development of E-Puck mobile robot obstacle avoidance controller
using fuzzy logic control and artificial neural network. Fuzzy logic control is used to collect …

Autonomous mobile robots are used in several application areas including manufacturing,
mining, military, and transportation, search and protect missions, etc. For the navigation …

Obstacle avoidance is one of the most important aspects of autonomous mobile robots. This
task is composed by two phases. First, the robot must detect obstacles in the environment …

The goal of this research was to develop a fuzzy obstacle avoidance system for an
autonomous mobile robot using IR detection sensors. This paper presents implemented …

This paper present an obstacle avoidance approach for e-puck module by using Fuzzy
Logic controller. The input from eight (8) IR sensors and the output of the motor speed will be …

This paper presents an ongoing effort to control a mobile robot in unstructured environment.
Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous …

Autonomous mobile robots' navigation has become a very popular and interesting topic of
computer science and robotics in the last decade. Many algorithms have been developed for …

Autonomous mobile robots have been widely used in many researches and applications.
Mobile robots can be programmed to do specific tasks such as collision avoidance and …

Navigation of a mobile robot in cluttered environment while ensuring obstacle avoidance
and maximum safety is indeed a challenging task. Route planning is an important issue in …