Data normalization and integration in robotic systems using web services technologies

The robotics is one of the most active areas. We also need to join a large number of disciplines to create robots. With these premises, one problem is the management of information from multiple heterogeneous sources. Each component, hardware or software, produces data with different nature: temporal frequencies, processing needs, size, type, etc. Nowadays, technologies and software engineering paradigms such as service-oriented architectures are applied to solve this problem in other areas. This paper proposes the use of these technologies to implement a robotic control system based on services. This type of system will allow integration and collaborative work of different elements that make up a robotic system.

Robotic control systems based on bioinspired multi-agent systems: application of the principles of neuroscience to robotics

Robotics is a field that presents a large number of problems because it depends on a large number of disciplines, devices, technologies and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges, such as robots household robots or professional robots. To facilitate the rapid development of robotic systems, low cost, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems.

System for robot control inspired by the functionality and organisation of the human nervous system

This paper presents a model of a control system for robot systems inspired by the functionality and organisation of human neuroregulatory system. Our model was specified using software agents within a formal framework and implemented through Web Services. This approach allows the implementation of the control logic of a robot system with relative ease, in an incremental way, using the addition of new control centres to the system as its behaviour is observed or needs to be detailed with greater precision, without the need to modify existing functionality. The tests performed verify that the proposed model has the general characteristics of biological systems together with the desirable features of software, such as robustness, flexibility, reuse and decoupling.

Multi-agent system for control of robots inspired on the distributed activity and hormonal regulation of humans

Robotics is an emerging field with great activity. Robotics is a field that presents several problems because it depends on a large number of disciplines, technologies, devices and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges. New uses are, for example, household robots or professional robots. To facilitate the low cost, rapid development of robotic systems, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems. Specifically, we model the decentralized activity and hormonal variation.

Evaluación del contenido sobre educación alimentaria en páginas web de servicios de catering: estudio piloto en el ámbito escolar

Introducción: Analizar la calidad de las páginas web de los servicios de catering en el ámbito escolar y su contenido en educación alimentaria, y tener una primera experiencia con la herramienta de evaluación EDALCAT. Material y métodos: Estudio descriptivo transversal. La población de estudio son páginas web de empresas de catering encargadas de la gestión de los comedores escolares. La muestra se obtuvo utilizando el buscador Google y un Ranking de las principales empresas de catering por facturación, escogiendo aquellas que tenían página web. Para la prueba piloto se seleccionaron diez páginas web según proximidad geográfica a la ciudad de Alicante y nivel de facturación. Para la evaluación de los sitios web se diseñó un cuestionario (EDALCAT), compuesto de un primer bloque de predictores de calidad con 19 variables de fiabilidad, diseño y navegación; y de un segundo bloque de contenidos específicos de educación alimentaria con 19 variables de contenido y actividades educativas. Resultados: Se han obtenido resultados positivos en 31 de las 38 variables del cuestionario, excepto en los ítems: “Buscador”, “Idioma” (40%) y “Ayuda” (10%) del bloque predictores de calidad y en los ítems: “Talleres”, “Recetario”, “Web alimentación-nutrición” (40%) y “Ejemplos” (30%) del bloque de contenidos específicos de educación alimentaria. Todas las páginas web evaluadas superan valores del 50% de cumplimiento de criterios de calidad y de contenidos mínimos en educación alimentaria, y sólo una de ellas, incumple el nivel de actividad mínimo establecido. Conclusiones: Los predictores de calidad y los contenidos específicos en educación alimentaria dieron buenos resultados en todas las páginas web evaluadas. La mayoría de ellas obtuvieron una alta puntuación en su valoración, y en su análisis individual por bloques. Tras el estudio piloto el cuestionario se ha modificado y se obtiene el EDALCAT definitivo. En líneas generales EDALCAT parece ser adecuado para evaluar la calidad de las páginas web de servicios de catering y su contenido en educación alimentaria, sin embargo el presente estudio no puede considerarse como validación del mismo.

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous capabilities whose response times are difficult to predict. The research described in this work aims to respond to this issue by developing a computational model that formalizes the problem and that defines adjusting computing methods. The described proposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation frameworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the embedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be executed and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and to schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in running contexts with heterogeneous work loading for checking the validity of the proposed model is described.