Eduardo Zalama Casanova

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In this paper, an approach for deaf-people interfacing using computer vision is presented. The recognition of alphabetic static signs of the Spanish Sign Language is addressed. The proposed approach combines a number of norms to evaluate the distance of the current sign, to the sign models stored in a database (a dictionary). This solution leads to a(More)
In this paper a method for obtaining the location, size and shape of main surfaces in an environment , from points measured by a laser scanner onboard a mobile robot, is presented. The most likely orientation of the surface normal is first calculated at every point, from points in an adaptive-radius neighboring region. Then, similar planes are merged under(More)
We have recently introduced a neural network mobile robot controller (NETMORC). This controller, based on previously developed neural network models of biological sensory-motor control, autonomously learns the forward and inverse odometry of a differential drive robot through an unsupervised learning-by-doing cycle. After an initial learning phase, the(More)
This paper describes a neural network model for the reactive behavioral navigation of a mobile robot. From the information received through the sensors the robot can elicit one of several behaviors e.g. stop, avoid, stroll, wall following, through a competitive neural network. The robot is able to develop a control strategy depending on sensor information(More)
Obtaining virtual models from real buildings, terrains or building works is a matter of increased interest in construction. The application of such models ranges from technical use in architecture and civil engineering, to multimedia presentation or remote visits through the web. This is becoming possible thanks to recent advances in laser scanning(More)