Search results for "Artificial Intelligence"
showing 10 items of 6122 documents
3D models of humanoid soccer robot in USAR sim and robotics studio simulators
2008
This paper describes our experience in the simulation of humanoid soccer robots using two general purposes 3D simulators, namely USARSim and Microsoft Robotics Studio. We address the problem of the simulation of a soccer match among two teams of small humanoid robots in the RoboCup Soccer Kid-Size Humanoid competitions. The paper reports the implementation of the virtual models of the Robovie-M humanoid robot platform in the two simulators. Robovie-M was the robot used by our team "Artisti" in the RoboCup 2006 competitions. This paper focuses on the procedures needed to implement the virtual models of the robot and in the details of the models. We describe experiments assessing the feasibi…
Localization of 2D Cameras in a Known Environment Using Direct 2D-3D Registration
2014
International audience; In this paper we propose a robust and direct 2D-to- 3D registration method for localizing 2D cameras in a known 3D environment. Although the 3D environment is known, localizing the cameras remains a challenging problem that is particularly undermined by the unknown 2D-3D correspondences, outliers, scale ambiguities and occlusions. Once the cameras are localized, the Structure-from-Motion reconstruction obtained from image correspondences is refined by means of a constrained nonlinear optimization that benefits from the knowledge of the scene. We also propose a common optimization framework for both localization and refinement steps in which projection errors in one v…
Problem Space Identification for Developing Virtual Reality Learning Environments
2021
Our study argues that the extant literature on virtual reality-based learning environments (VRLEs) currently lacks proper definitions and context descriptions for a problem space, which is fundamental for conducting design science research (DSR). Without properly conducted problem space identification, the most pivotal problems cannot be identified resulting solutions lacking validity and unreliable evaluations. This is a major challenge for the DSR in the educational field, but also for the research on VRLEs. The purpose of this paper is to introduce a novel DSR method to support rigorous problem space identification, which would allow rigorous and profound problem space analysis. The inst…
Benchmarking the sustainable manufacturing paradigm via automatic analysis and clustering of scientific literature: A perspective from Italian techno…
2019
Abstract The number of scientific papers in the field of Sustainable Manufacturing (SM) shows a strong growth of interest in this topic in the last 20 years. Despite this huge number of publications, a clear statement of the profound meaning of Sustainable Manufacturing, or at least a strong theoretical support, is still missing. The 6R framework seems to be a first attempt to rationalize this issue, as it is an axiomatic identification of its true nature. Recognizing the pursuing of one or more of the Reduce-Recycle-Reuse-Recover-Redesign-Remanufacture principles allows users to identify if any manufacturing action is in the right direction of sustainability. In the paper, the authors spec…
Learning automata based energy-efficient AI hardware design for IoT applications
2020
Energy efficiency continues to be the core design challenge for artificial intelligence (AI) hardware designers. In this paper, we propose a new AI hardware architecture targeting Internet of Things applications. The architecture is founded on the principle of learning automata, defined using propositional logic. The logic-based underpinning enables low-energy footprints as well as high learning accuracy during training and inference, which are crucial requirements for efficient AI with long operating life. We present the first insights into this new architecture in the form of a custom-designed integrated circuit for pervasive applications. Fundamental to this circuit is systematic encodin…
Un cuento de robots : La hija cibernética de descartes
2021
French philosopher René Descartes is today valued as a forerunner of the studies of human mind, artificial intelligence and robotic systems. Throughout his work there are large references to automata and the possibility of artificial life, as well as an assessment of the differences between rational behavior of human beings and the purely mechanical of animals and automata. In addition to these references, there is a fable about the creation by the philosopher of an automaton that replicated his deceased daughter Francine, a story that is well known among the French and Anglo-Saxon specialists, but not so much in the Spanish ones, which is what settles this short work
Development of Artificial Intelligence Methods for Clinical Genomics
2022
El presente trabajo de investigación se centra en la identificación de puntos de majora de los actuales sistemas de análisis genético y de recuento cellular para laboratorio. Analiza las diferentes metodologías existentes a través de encuestas a expertos, investigación bibliográfica y experimentos comparativos. Posteriormente propone varias metodologías mejoradas para recuento celular basadas en inteligencia artificial aplicada al análisis de imágen y para automatización de análisis genéticos en sistemas de secuenciación masiva NGS. El trabajo también propone varias optimizaciones para interpretación de variantes genéticas mediante inteligencia artificial a partir de una variación de la met…
El pensamiento computacional en contextos educativos: una aproximación desde la Tecnología Educativa
2019
El pensamiento computacional ha vivido un resurgir en los últimos años, en los que la comunidad científica y educativa ha puesto su foco de interés sobre él como un aspecto relevante a incorporar de manera curricular. No obstante, la falta de consenso respecto a qué es y cómo trabajarlo tiene como resultado que se aborde de diferentes formas en la educación, lo que repercute directamente en el aprendizaje del alumnado. Desde enfoques más técnicos, que tienen el riesgo de no permitir aprovechar el potencial que tiene de ser integrado en la estrategia didáctica del docente, a enfoques más transversales, que sí profundizan en las posibilidades que tiene en el ámbito de la didáctica, pero que a…
Self-Organized Linguistic Systems: From traditional AI to bottom-up generative processes
2018
Este trabajo busca explorar el potencial de los procesos generativos bottom-up en el contexto de la producción conlang, con el objetivo de describir las bases de un nuevo campo de investigación: los Sistemas Lingüísticos Autoorganizados o SOLS, específicamente bajo la perspectiva doble de sistemas autoorganizados y lenguajes construidos. El enfoque SOLS proporciona un marco para la creación de lenguajes artificiales autogenerados y puede servir como punto de partida para el desarrollo de lenguajes dependientes del contexto o específicos del dominio. Reconoce que el desarrollo de conlangs puede ocurrir en sociedades artificiales de agentes simples, como resultado de interacciones sociales en…
Distributed channel prediction for multi-agent systems
2017
Los sistemas multiagente (MAS) se comunican a través de una red inalámbrica para coordinar sus acciones e informar sobre el estado de su misión. La conectividad y el rendimiento del sistema pueden mejorarse mediante la predicción de la ganancia del canal. Presentamos un esquema basado en regresión de procesos gaussianos (GPR) distribuidos para predecir el canal inalámbrico en términos de la potencia recibida en el MAS. El esquema combina una máquina de comité bayesiano con un esquema de consenso medio, distribuyendo así no sólo la memoria sino también la carga computacional y de comunicación. A través de simulaciones de Monte Carlo, demostramos el rendimiento del GPR propuesto. RACHEL TEC20…