Raquel Frizera Vassallo

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We address the problem of visual-based indoors navigation based on a single camera that provides the required visual feedback information. The usual approach relies on a map to relocate the robot with respect to the environment. Once the robot position and orientation are known, a suitable trajectory is deened according to the mission goals and the(More)
We address the problem of visual-based navigation of a mobile robot in indoors environments. The robot control system is based on a single camera to provide the required visual feedback information. The control strategy merges two distinct paradigms that appeared recently in the technical literature, in order to provide the robustness and computation speed(More)
We propose the use of motor vocabulary, that express a robot's specific motor capabilities, for topological map-building and navigation. First, the motor vocabulary is created automatically through an imitation behaviour where the robot learns about its own motor repertoire, by following a tutor and associating its own motion perception to motor words. The(More)
— In this work a robot cooperation strategy based on omnidirectional vision is presented. Such strategy will be applied to a mobile robot team formed by small and simple robots and a bigger leader robot with more computational power. The leader must control team formation. It has an omnidirectional camera and sees the other robots. Color segmentation and(More)
This paper describes an intelligent space, whose objective is to localize and control robots or robotic wheelchairs to help people. Such an intelligent space has 11 cameras distributed in two laboratories and a corridor. The cameras are fixed in the environment, and image capturing is done synchronously. The system was programmed as a client/server with(More)
This paper presents a method of image-based localization in rough off-road terrain. It assumes an underlying topological map of the environment modeling places that are relevant for navigation as nodes in a graph. Hence, localization is reduced to the coarse recognition of previously visited places. While many approaches try to identify objects that(More)
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