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In this paper we compare two methods to carry out topological mapping using only visual information captured by a robot. This map should contain enough information so that the robot can estimate its position and orientation and redundant information should be removed to get an acceptable computational cost during the localization process. Apart from this, it is also important to know the topology...
In a multi-robot system, in which each of the robots constructs its own local map, it is necessary to perform the fusion of these maps into a global one. This task is normally performed in two different steps: by aligning the maps and then merging the data. This paper focusses on the first step: Map Alignment, which consists in obtaining the transformation between the local maps built independently...
The use of wireless network signal strength proposed to estimate the relative position between vehicles in a robot formation set. We propose a relative leader-follower model which allows us to use the reception signal strength as control variable for robot stabilization in the formation. Vehicle sensors consist of wheel speed and steering angle, the WiFi data consist of reception signal strength (RSS)...
In this paper, we present a solution to the SLAM problem that enables a mobile robot to create visual maps of a given environment. A visual map is formed by a set of significant points that are detected in a three-dimensional space. Those points are extracted from images taken from the environment. In this work, the significant points extracted are used as landmarks in the environment that can be...
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