Autonomous navigation with deadlock detection and avoidance

This paper studies alternatives to solve the problem of autonomous mobile robots navigation in unknown indoor environments. The navigation system uses fuzzy logic to combine the information obtained from range sensors and the navigational data to plan the robot’s movements. The strategy is built upon five modules: i) target following, ii) obstacle avoidance, iii) possible path, iv) deadlock detection and v) wall following. Given a possible path and obstacles near the environment of the robot, the controller will modulate the output velocity in order to go to the target and avoid collisions. In case of dead lock situations, a method that enables the robot to detect, escape and reach the target is proposed. The performance and behavior of the proposed navigational system was evaluated through simulations in different conditions, where the effectiveness of the proposed method is demonstrated and compared with previous results.Sociedad Argentina de Informática e Investigación Operativ

Autonomous navigation with deadlock detection and avoidance

This paper studies alternatives to solve the problem of autonomous mobile robots navigation in unknown indoor environments. The navigation system uses fuzzy logic to combine the information obtained from range sensors and the navigational data to plan the robot’s movements. The strategy is built upon five modules: i) target following, ii) obstacle avoidance, iii) possible path, iv) deadlock detection and v) wall following. Given a possible path and obstacles near the environment of the robot, the controller will modulate the output velocity in order to go to the target and avoid collisions. In case of dead lock situations, a method that enables the robot to detect, escape and reach the target is proposed. The performance and behavior of the proposed navigational system was evaluated through simulations in different conditions, where the effectiveness of the proposed method is demonstrated and compared with previous results.Sociedad Argentina de Informática e Investigación Operativ

A cellular automata to model epidemics

Compartmental models are very popular in epidemiology, they provide excellent results when the populations satisfy certain hypotheses as large population size or population homogeneity, the complexity of this models is low making their analysis intuitive. In the other hand, they ignore important factors inherent to the problem, such as the nature of contacts between individuals and population heterogeneity. Cellular automata models are adequate to describe natural systems consisting of a massive collection of simple objects. They represent the global system behavior as a colection of simpler objects or cells. In this paper we propouse a cellular automata model to study the time evolution of a heterogeneous population through the various stages of disease resulting from the individuals interactions (epidemic). We validate the model with real data of flu that hit Geneva (Switzerland) in 1918 and then we will test the model under different assumptions discussing the result that each has on the disease dynamics.Sociedad Argentina de Informática e Investigación Operativ

A cellular automata to model epidemics

Compartmental models are very popular in epidemiology, they provide excellent results when the populations satisfy certain hypotheses as large population size or population homogeneity, the complexity of this models is low making their analysis intuitive. In the other hand, they ignore important factors inherent to the problem, such as the nature of contacts between individuals and population heterogeneity. Cellular automata models are adequate to describe natural systems consisting of a massive collection of simple objects. They represent the global system behavior as a colection of simpler objects or cells. In this paper we propouse a cellular automata model to study the time evolution of a heterogeneous population through the various stages of disease resulting from the individuals interactions (epidemic). We validate the model with real data of flu that hit Geneva (Switzerland) in 1918 and then we will test the model under different assumptions discussing the result that each has on the disease dynamics.Sociedad Argentina de Informática e Investigación Operativ

A cellular automata to model epidemics

Compartmental models are very popular in epidemiology, they provide excellent results when the populations satisfy certain hypotheses as large population size or population homogeneity, the complexity of this models is low making their analysis intuitive. In the other hand, they ignore important factors inherent to the problem, such as the nature of contacts between individuals and population heterogeneity. Cellular automata models are adequate to describe natural systems consisting of a massive collection of simple objects. They represent the global system behavior as a colection of simpler objects or cells. In this paper we propouse a cellular automata model to study the time evolution of a heterogeneous population through the various stages of disease resulting from the individuals interactions (epidemic). We validate the model with real data of flu that hit Geneva (Switzerland) in 1918 and then we will test the model under different assumptions discussing the result that each has on the disease dynamics.Sociedad Argentina de Informática e Investigación Operativ

Autonomous navigation with deadlock detection and avoidance

This paper studies alternatives to solve the problem of autonomous mobile robots navigation in unknown indoor environments. The navigation system uses fuzzy logic to combine the information obtained from range sensors and the navigational data to plan the robot’s movements. The strategy is built upon five modules: i) target following, ii) obstacle avoidance, iii) possible path, iv) deadlock detection and v) wall following. Given a possible path and obstacles near the environment of the robot, the controller will modulate the output velocity in order to go to the target and avoid collisions. In case of dead lock situations, a method that enables the robot to detect, escape and reach the target is proposed. The performance and behavior of the proposed navigational system was evaluated through simulations in different conditions, where the effectiveness of the proposed method is demonstrated and compared with previous results.Sociedad Argentina de Informática e Investigación Operativ

Desarrollo e implementación de un dispositivo de adquisición y almacenamiento de sonidos para ganadería de precisión

El monitoreo preciso de las actividades alimentarias de los rumiantes (rumia y pastoreo) es un importante indicador de su salud y bienestar. Un buen seguimiento en la dieta repercute de manera directa en la calidad y cantidad de la leche y carne producidas por el animal. En este trabajo se describe el desarrollo e implementación de un dispositivo de adquisición y almacenamiento de señales para el monitoreo de actividades alimentarias en ganado bovino. Dicho dispositivo tiene por objetivo captar los sonidos producidos por los animales durante su alimentación, sin interferir en su comportamiento normal y sin intervención del operador. El sistema propuesto consta de tres módulos: i) un módulo de adquisición y limpieza del sonido producido por el animal, ii) un módulo de compresión de la señal resultante, organización y almacenamiento de los datos y iii) un módulo de administración de la energía. El sistema fue diseñado para tener una autonomía de una semana y soportar las condiciones operacionales presentes en el campo de aplicación, como son la presencia de ruidos y condiciones climáticas adversas.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Desarrollo e implementación de un dispositivo de adquisición y almacenamiento de sonidos para ganadería de precisión

El monitoreo preciso de las actividades alimentarias de los rumiantes (rumia y pastoreo) es un importante indicador de su salud y bienestar. Un buen seguimiento en la dieta repercute de manera directa en la calidad y cantidad de la leche y carne producidas por el animal. En este trabajo se describe el desarrollo e implementación de un dispositivo de adquisición y almacenamiento de señales para el monitoreo de actividades alimentarias en ganado bovino. Dicho dispositivo tiene por objetivo captar los sonidos producidos por los animales durante su alimentación, sin interferir en su comportamiento normal y sin intervención del operador. El sistema propuesto consta de tres módulos: i) un módulo de adquisición y limpieza del sonido producido por el animal, ii) un módulo de compresión de la señal resultante, organización y almacenamiento de los datos y iii) un módulo de administración de la energía. El sistema fue diseñado para tener una autonomía de una semana y soportar las condiciones operacionales presentes en el campo de aplicación, como son la presencia de ruidos y condiciones climáticas adversas.Sociedad Argentina de Informática e Investigación Operativa (SADIO