Using inspiration from our perception on how humans select the path to walk in crowded
areas, a new method for reactive autonomous robot navigation is proposed. The method …

One of the main research concern in neural networks is to find the appropriate network size
in order to minimize the trade-off between overfitting and poor approximation. In this paper …

This work tries to demonstrate how the use of depth map cameras has considerable
advantages compared to laser range measurements. As is known, the laser 2D can only see …

This paper describes an autonomous exploration algorithm for mobile robots. The method
implements a frontier-based exploration strategy that relies on a reactive navigation system …

Potential methods and all their gradient-based derivations are extensively used in
autonomous robotics, primarily in association with reactive navigational strategies. In this …

A new method for reactive autonomous robot navigation using the center of area of detected
free space around the robot is described. The proposed method uses only part of detected …

In this paper we present an example of incremental build up of a topological map to be used
by a mobile robot which is programmed for navigation tasks. For this purpose we will use the …

The problem of modelling and reducing knowledge needed to build an internal
representation of the environment is still a milestone in robotics. This representation task is …

The objective of this paper is to develop further the idea of using potential fields for robot
navigation but changing to representation of free space instead of obstacles, because the …

El objetivo de este trabajo es la obtención de mecanismos que posibiliten la conducción
autónoma de un robot en situaciones reales. Para lograr cumplir una tarea tan ambiciosa …