330 research outputs found
The Thirring quantum cellular automaton
We analytically diagonalize a discrete-time on-site interacting fermionic
cellular automaton in the two-particle sector. Important features of the
solutions sensibly differ from those of analogous Hamiltonian models. In
particular, we found a wider variety of scattering processes, we have bound
states for every value of the total momentum, and there exist bound states also
in the free case, where the coupling constant is null.Comment: 4 pages+references, Revtex style, 2 figures, supplemental material
included as appendi
Localization of a mobile autonomous robot based on image analysis
This paper introduces an innovative method to
solve the problem of self localization of a mobile autonomous robot, and in particular a case study is carried out for robot localization in a RoboCup field environment.
The approach here described is completely different from other methods currently used in RoboCup, since it is only based on the use of images and does not involve the use of techniques like Monte Carlo or other probabilistic approaches.
This method is simple, acceptably efficient for the purpose it was created, and uses a relatively low computational time to calculate.Fundação para a Ciência e a Tecnologia (FCT) - POSI/ROBO/43892/200
Discrete Feynman propagator for the Weyl quantum walk in 2+1 dimensions
Recently quantum walks have been considered as a possible fundamental
description of the dynamics of relativistic quantum fields. Within this
scenario we derive the analytical solution of the Weyl walk in 2+1 dimensions.
We present a discrete path-integral formulation of the Feynman propagator based
on the binary encoding of paths on the lattice. The derivation exploits a
special feature of the Weyl walk, that occurs also in other dimensions, that is
closure under multiplication of the set of the walk transition matrices. This
result opens the perspective of a similar solution in the 3+1 case.Comment: 5 page
An experimental study on evolutionary reactive behaviors for mobile robots navigation
Mobile robot's navigation and obstacle avoidance in an unknown and static environment is analyzed in this paper. From the guidance of position sensors, artificial neural network (ANN) based controllers settle the desired trajectory between current and a target point. Evolutionary algorithms were used to choose the best controller. This approach, known as Evolutionary Robotics (ER), commonly resorts to very simple ANN architectures. Although they include temporal processing, most of them do not consider the learned experience in the controller's evolution. Thus, the ER research presented in this article, focuses on the specification and testing of the ANN based controllers implemented when genetic mutations are performed from one generation to another. Discrete-Time Recurrent Neural Networks based controllers were tested, with two variants: plastic neural networks (PNN) and standard feedforward (FFNN) networks. Also the way in which evolution was performed was also analyzed. As a result, controlled mutation do not exhibit major advantages against over the non controlled one, showing that diversity is more powerful than controlled adaptation.Facultad de Informátic
An experimental study on evolutionary reactive behaviors for mobile robots navigation
Mobile robot's navigation and obstacle avoidance in an unknown and static environment is analyzed in this paper. From the guidance of position sensors, artificial neural network (ANN) based controllers settle the desired trajectory between current and a target point. Evolutionary algorithms were used to choose the best controller. This approach, known as Evolutionary Robotics (ER), commonly resorts to very simple ANN architectures. Although they include temporal processing, most of them do not consider the learned experience in the controller's evolution. Thus, the ER research presented in this article, focuses on the specification and testing of the ANN based controllers implemented when genetic mutations are performed from one generation to another. Discrete-Time Recurrent Neural Networks based controllers were tested, with two variants: plastic neural networks (PNN) and standard feedforward (FFNN) networks. Also the way in which evolution was performed was also analyzed. As a result, controlled mutation do not exhibit major advantages against over the non controlled one, showing that diversity is more powerful than controlled adaptation.Facultad de Informátic
Asymptotic properties of the Dirac quantum cellular automaton
We show that the Dirac quantum cellular automaton [A. Bisio, G. M. D'Ariano, and A. Tosini, Ann. Phys. (N. Y.) 354, 244 (2015)] shares many properties in common with the discrete-time quantum walk. These similarities can be exploited to study the automaton as a unitary process that takes place at regular time steps on a one-dimensional lattice, in the spirit of general quantum cellular automata. In this way, it becomes an alternative to the quantum walk, with a dispersion relation that can be controlled by a parameter that plays a similar role to the coin angle in the quantum walk. The Dirac Hamiltonian is recovered under a suitable limit. We provide two independent analytical approximations to the long-term probability distribution. It is shown that, starting from localized conditions, the asymptotic value of the entropy of entanglement between internal and motional degrees of freedom overcomes the known limit that is approached by the quantum walk for the same initial conditions and is similar to the ones achieved by highly localized states of the Dirac equation
Integración de un periscopio militar a un simulador de realidad virtual para entrenamiento táctico
El presente trabajo describe tareas de actualización recientemente realizadas en la Escuela de Submarinos y Buceo (ESyB) de la Armada Argentina con sede en la Base Naval de Mar del Plata en el adiestrador de operarios de submarinos en el marco del proyecto de transferencia tecnológica (RCS 1112/13 UNCPBA-ESyB). En particular se trabajó en la modernización de un simulador de periscopio, desarrollado originalmente por este mismo grupo de investigadores en el año 2003. Los distintos movimientos y controles asociados a los comandos del periscopio son convertidos a una interfaz clara de alto nivel y enviados al motor de simulación desacoplando así ambos sistemas.
Este artículo muestra un panorama general de la arquitectura del sistema de control del periscopio y describe las soluciones implementadas a nivel de hardware y software. Se consiguió implementar un sistema embebido adecuado al presupuesto, con componentes accesibles a nivel nacional y con tiempos de respuesta por debajo de lo exigido por el motor de simulación.X Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI
Integración de un periscopio militar a un simulador de realidad virtual para entrenamiento táctico
El presente trabajo describe tareas de actualización recientemente realizadas en la Escuela de Submarinos y Buceo (ESyB) de la Armada Argentina con sede en la Base Naval de Mar del Plata en el adiestrador de operarios de submarinos en el marco del proyecto de transferencia tecnológica (RCS 1112/13 UNCPBA-ESyB). En particular se trabajó en la modernización de un simulador de periscopio, desarrollado originalmente por este mismo grupo de investigadores en el año 2003. Los distintos movimientos y controles asociados a los comandos del periscopio son convertidos a una interfaz clara de alto nivel y enviados al motor de simulación desacoplando así ambos sistemas.
Este artículo muestra un panorama general de la arquitectura del sistema de control del periscopio y describe las soluciones implementadas a nivel de hardware y software. Se consiguió implementar un sistema embebido adecuado al presupuesto, con componentes accesibles a nivel nacional y con tiempos de respuesta por debajo de lo exigido por el motor de simulación.X Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI
Integración de un periscopio militar a un simulador de realidad virtual para entrenamiento táctico
El presente trabajo describe tareas de actualización recientemente realizadas en la Escuela de Submarinos y Buceo (ESyB) de la Armada Argentina con sede en la Base Naval de Mar del Plata en el adiestrador de operarios de submarinos en el marco del proyecto de transferencia tecnológica (RCS 1112/13 UNCPBA-ESyB). En particular se trabajó en la modernización de un simulador de periscopio, desarrollado originalmente por este mismo grupo de investigadores en el año 2003. Los distintos movimientos y controles asociados a los comandos del periscopio son convertidos a una interfaz clara de alto nivel y enviados al motor de simulación desacoplando así ambos sistemas.
Este artículo muestra un panorama general de la arquitectura del sistema de control del periscopio y describe las soluciones implementadas a nivel de hardware y software. Se consiguió implementar un sistema embebido adecuado al presupuesto, con componentes accesibles a nivel nacional y con tiempos de respuesta por debajo de lo exigido por el motor de simulación.X Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI
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