Alvaro Sánchez Miralles
Comillas Pontifical University
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Publication
Featured researches published by Alvaro Sánchez Miralles.
Journal of Intelligent and Robotic Systems | 2004
Alvaro Sánchez Miralles; Miguel Ángel Sanz Bobi
This paper is focused on path planning in environments modelled using continuous probabilistic maps, in particular, maps where obstacles are modelled using the sum of Gaussian distributions. Potential field and roadmap based methods are suitable for these type of maps, but they have some disadvantages. In order to attenuate the disadvantages of the previous methods, a new method has been proposed which is a mixture of them. It performs path planning based on a potential field taking into account a roadmap as a source of potential. Moreover, some experiments have been done in order to compare the performance of them.This paper is focused on path planning in environments modelled using continuous probabilistic maps, in particular, maps where obstacles are modelled using the sum of Gaussian distributions. Potential field and roadmap based methods are suitable for these type of maps, but they have some disadvantages. In order to attenuate the disadvantages of the previous methods, a new method has been proposed which is a mixture of them. It performs path planning based on a potential field taking into account a roadmap as a source of potential. Moreover, some experiments have been done in order to compare the performance of them.
ieee intelligent transportation systems | 2014
Alvaro Sánchez Miralles; Tomás Gómez San Román; Ismael Jaime Fernández Fernández; C.F. Calvillo
To achieve an effective integration of the electric vehicle in the grid, not only technical issues must be solved, but also a new regulatory context and business models must be proposed. This paper proposes two electric vehicle integration business models; one resembles the mobile-phone business, while the other is more based on current practices in the electricity-supply business. Decomposition into three layers: physical, management, and business, is used to describe those business models. Furthermore, electric vehicle charging scenarios are presented to illustrate how the proposed business models fit in each of the potential situations. Finally, several practical study cases are presented.
ieee international conference on renewable energy research and applications | 2013
Aitor P. Zabala; Phillippe Moeyersoms; Christos S. Ioakimidis; Konstantinos N. Genikomsakis; Alvaro Sánchez Miralles
ReadyToGo is a short term e-vehicle leasing, sharing and pooling system. This kind of service allows the user to make a reservation for an electric vehicle (car, bike or motorbike) and to pick up in any of the seven points around the city of Bilbao and to drop off in another point. When a user makes a reservation, he is given the option to publish the route that he is going to follow in order to allow other users to see it and make a request to pick them up in a specified point (of the route). This service is a part of a larger project at the University of Deusto on Smart Grids (UDSmartGridTM), Spain. The aim of this project is to serve the mobility needs of students, academics and administration staff from their residential point to the University Campus of Deusto.
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World | 2013
Christos S. Ioakimidis; Aitor P. Zabala; Dragan Simic; Dionisis Kehagias; Alvaro Sánchez Miralles
The objective of this work is to present the use of a Smart Phone operation as part of a larger project at the University of Deus to on Smart Grids (UDS mart GridTM), Spain, as the way of being able to make a reservation of an electric vehicle service under a short-term leasing/sharing/pooling case study. The ReadyToCharge@ is an intelligent system application protocol that has as a purpose to be able to be used by the customer of such a service in a very and simple efficient way. The technologies used are the Google API 7, the Eclipse software and the SQLite Manager.
Journal of Intelligent and Robotic Systems | 2006
Alvaro Sánchez Miralles; Miguel Ángel Sanz Bobi
One of the problems in the field of mobile robotics is the estimation of the robot position in an environment. This paper proposes a model for estimating a confidence interval of the robot position in order to compare it with the estimation made by a dead-reckoning system. Both estimations are fused using heuristic rules. The positioning model is very valuable in estimating the current robot position with or without knowledge about the previous positions. Furthermore, it is possible to define the degree of knowledge of the robot previous position, making it possible to adapt the estimation by varying this knowledge degree. This model is based on a one-pass neural network which adapts itself in real time and learns about the relationship between the measurements from sensors and the robot position.
Energy Policy | 2011
Tomás Gómez San Román; Ilan Momber; Michel Luis Rivier Abbad; Alvaro Sánchez Miralles
Archive | 2018
Miguel Ángel Sanz Bobi; Peyman Mazidi; Alvaro Sánchez Miralles; Ana González Bordagaray; Raúl Bachiller Prieto
Archive | 2018
Timo Gerres; José Pablo Chaves Ávila; Francisco Martín Martínez; Michel Luis Rivier Abbad; Rafael Cossent Arín; Alvaro Sánchez Miralles; Tomás Gómez San Román
Revista: Renewable & Sustainable Energy Reviews, Periodo: 1, Volumen: 62, Número: , Página inicial: 1133, Página final: 1153 | 2016
Francisco Martín Martínez; Alvaro Sánchez Miralles; Michel Luis Rivier Abbad
Revista: IET Generation Transmission & Distribution, Periodo: 1, Volumen: 10, Número: 3, Página inicial: 815, Página final: 821 | 2016
Carlos Mateo Domingo; Andrea Rodríguez Calvo; Javier Reneses Guillén; Pablo Frías Marín; Alvaro Sánchez Miralles