Discussion of "A review of data science in business and industry and a future view" by Grazia Vicario and Shirley Coleman

Ministerio de Economía y Competitividad, DPI2017-82896-C2-1-RFerrer, A. (2020). Discussion of "A review of data science in business and industry and a future view" by Grazia Vicario and Shirley Coleman. Applied Stochastic Models in Business and Industry. 36(1):23-29. https://doi.org/10.1002/asmb.2516232936

Multivariate six sigma: A key improvement strategy in industry 4.0

[EN] This article aims to generate a reflection on the changes that need to be made in the Six Sigma strategy so that it continues to be a successful improvement strategy capable of facing the new challenges derived from Industry 4.0.This research work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness under the project DP I2017-82896-C2-1-R.Ferrer, A. (2021). Multivariate six sigma: A key improvement strategy in industry 4.0. Quality Engineering. 33(4):758-763. https://doi.org/10.1080/08982112.2021.195748175876333

Estudio de la vulnerabilidad de una red de drenaje mediante el método de Monte Carlo

El diseño de redes de drenaje se ha realizado tradicionalmente de una manera determinista, definiendo un nivel de seguridad en términos de periodo de retorno asociado a una lluvia de proyecto considerada en el cálculo hidrológico e hidráulico. No obstante, los parámetros que forman parte del diseño, como por ejemplo la precipitación o los coeficientes de rugosidad de los conductos de la red, tienen una variabilidad y una incertidumbre que no se considera habitualmente en el proceso de cálculo y respuesta de la red de drenaje, ni se analiza como parte de los resultados obtenidos

«People no longer go to the theatre to see comedies, but sainetes and stage tonadillas»: Nifo versus the sainete in the theatrical battle of the enlightenment

El teatro fue una de las diversiones más importantes durante el siglo XVIII. Controlar sus contenidos se consideró una obligación tan necesaria como compleja por parte de las instituciones. En este ensayo se traza una visión panorámica de la visión de Francisco Mariano Nifo en relación con el sainete y la tonadilla escénica, dentro de la batalla teatral de la Ilustración.Drama was one of the most important amusements during the eighteenth-Century. To control its contents was considered an obligation for the institutions. The task was as necessary as it was complex. In the present work, the author exposes a comprehensive vision of Nifo’s ideas about the short plays («sainete» and «tonadilla escénica») on the theatrical controversy of eighteenth-Century.peerReviewe

Proactive kinodynamic planning using the extended social force model and human motion prediction in urban environments

Trabajo presentado al IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), celebrado en Chicago, Illinois (US) del 14 al 18 de septiembre.This paper presents a novel approach for robot navigation in crowded urban environments where people and objects are moving simultaneously while a robot is navigating. Avoiding moving obstacles at their corresponding precise moment motivates the use of a robotic planner satisfying both dynamic and nonholonomic constraints, also referred as kynodynamic constraints. We present a proactive navigation approach with respect its environment, in the sense that the robot calculates the reaction produced by its actions and provides the minimum impact on nearby pedestrians. As a consequence, the proposed planner integrates seamlessly planning and prediction and calculates a complete motion prediction of the scene for each robot propagation. Making use of the Extended Social Force Model (ESFM) allows an enormous simplification for both the prediction model and the planning system under differential constraints. Simulations and real experiments have been carried out to demonstrate the success of the proactive kinodynamic planner.Work supported by the Spanish Ministry of Science and Innovation under project Rob Task Coop (DPI2010-17112).Peer Reviewe

Behavior estimation for a complete framework for human motion prediction in crowded environments

Presentado al ICRA 2014 celebrado en Hong Kong del 31 de mayo al 7 de junio.In the present work, we propose and validate a complete probabilistic framework for human motion prediction in urban or social environments. Additionally, we formulate a powerful and useful tool: the human motion behavior estimator. Three different basic behaviors have been detected: Aware, Balanced and Unaware. Our approach is based on the Social Force Model (SFM) and the intentionality prediction BHMIP. The main contribution of the present work is to make use of the behavior estimator for formulating a reliable prediction framework of human trajectories under the influence of dynamic crowds, robots, and in general any moving obstacle. Accordingly, we have demonstrated the great performance of our long-term prediction algorithm, in real scenarios, comparing to other prediction methods.Work supported by the Spanish Ministry of Science and Innovation under project RobTaskCoop (DPI2010-17112).Peer Reviewe

Multi-objective cost-to-go functions on robot navigation in dynamic environments

Trabajo presentado a la International Conference on Intelligent Robots and Systems, celebrada en Hamburgo (Alemania) del 28 de septiembre al 2 de octubre de 2015.In our previous work we introduced the Anticipative Kinodynamic Planning (AKP): a robot navigation algorithm in dynamic urban environments that seeks to minimize its disruption to nearby pedestrians. In the present paper, we maintain all the advantages of the AKP, and we overcome the previous limitations by presenting novel contributions to our approach. Firstly, we present a multi-objective cost function to consider different and independent criteria and a well-posed procedure to build a joint cost function in order to select the best path. Then, we improve the construction of the planner tree by introducing a cost-to-go function that will be shown to outperform a classical Euclidean distance approach. In order to achieve real time calculations, we have used a steering heuristic that dramatically speeds up the process. Plenty of simulations and real experiments have been carried out to demonstrate the success of the AKP.This work was supported by the Spanish Ministry of Science and Innovation project DPI2013-42458-PPeer Reviewe