Navigation simulation for an autonomous robot

An Evolutionary Algorithm for Autonomous Robot Navigation

This paper presents an implementation of an evolutionary algorithm to control a robot with autonomous navigation in avoiding obstacles. The paper describes how the evolutionary system controls the sensors and motors in order to complete this task. A simulator was developed to test the algorithm and its configurations. The tests were performed in a simulated environment containing a set of barri...

A Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm

In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

While effective navigation in large, crowded environments is essential for an autonomous robot, preliminary testing to support it requires simulation across a broad range of crowd scenarios. Most available simulation tools provide either realistic crowds without robots or realistic robots without realistic crowds. This paper introduces MengeROS, a flexible 2-dimensional simulator that realistic...

Predictive autonomous robot navigation

This paper considers the problem of a robot navigating in a crowded or congested environment. A robot operating in such an environment can get easily blocked by moving humans and other objects. To deal with this problem it is proposed to attempt to predict the motion trajectory of humans and obstacles. Two kinds of prediction are considered: short-term and long-term. The short-term prediction r...

Design of an Autonomous Navigation System for a Mobile Robot