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    Chapter and Conference Paper

    Mobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Model

    This article presents the design and implementation of a new visualization system for mobile platforms for the PhyFire-HDWind fire simulation model, called AppPhyFire. It proposes a mobile computing infrastruc...

    Alejandro Hérnández, David Álvarez in 14th International Conference on Soft Comp… (2020)

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    Chapter and Conference Paper

    Quality Study of Robot Trajectories Based on the Anisotropic Fast Marching Method

    Fast Marching Method has been applied to many fields such as image processing or path planning. For path planning, the Anisotropic Fast Marching Method can be used, which allows computing paths with small grad...

    Santiago Garrido, Luis Moreno in ROBOT 2017: Third Iberian Robotics Confere… (2018)

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    Chapter and Conference Paper

    Tactile-Based In-Hand Object Pose Estimation

    This paper presents a method to estimate the pose of an object inside a robotic hand by exploiting contact and joint position information. Once an initial visual estimation is provided, a Bootstrap Particle Fi...

    David Álvarez, Máximo A. Roa, Luis Moreno in ROBOT 2017: Third Iberian Robotics Conference (2018)

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    Article

    Fast Marching-based globally stable motion learning

    In this paper, a novel motion learning method is introduced: Fast Marching Learning (FML). While other learning methods are focused on optimising probabilistic functions or fitting dynamical systems, the propo...

    Javier V. Gomez, David Alvarez, Santiago Garrido, Luis Moreno in Soft Computing (2017)

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    Chapter and Conference Paper

    Path Planning for Mars Rovers Using the Fast Marching Method

    This paper presents the application of the Fast Marching Method, with or without an external vectorial field, to the path planning problem of robots in difficult outdoors environments. The resulting trajectory...

    Santiago Garrido, David Álvarez, Luis Moreno in Robot 2015: Second Iberian Robotics Confer… (2016)

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    Article

    3D Robot Formations Path Planning with Fast Marching Square

    This work presents a path planning algorithm for 3D robot formations based on the standard Fast Marching Square (FM2) path planning method. This method is enlarged in order to apply it to robot formations motion ...

    David Álvarez, Javier V. Gómez in Journal of Intelligent & Robotic Systems (2015)

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    Chapter and Conference Paper

    Stroke-Based Intelligent Word Recognition Using a Formal Language

    In this paper, we propose a new approach for off-line intelligent word recognition. Firstly, we segment a word into its single characters. Then, we tag every pixel of a character as vertical or horizontal and ...

    David Álvarez, Ramón Fernández in 10th International Conference on Soft Comp… (2015)

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    Chapter and Conference Paper

    Expert System for Handwritten Numeral Recognition Using Dynamic Zoning

    This paper introduces an expert system for handwritten digit recognition. The system considers that a numeric handwritten character can be decomposed into vertical and horizontal strokes. Then, the positions w...

    David Álvarez, Ramón Fernández, Lidia Sánchez in Hybrid Artificial Intelligent Systems (2015)

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    Article

    Adaptive evolving strategy for dextrous robotic manipulation

    A robot task can be represented as a set of trajectories conformed by a sequence of poses. In this way it is possible to teach a mobile robot to accomplish a manipulation task, and also to reproduce it. Nevert...

    César Arismendi, David Álvarez, Santiago Garrido, Luis Moreno in Evolving Systems (2014)

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    Chapter and Conference Paper

    Learning-Based Floor Segmentation and Reconstruction

    This paper presents a comparison of the different colour spaces used in an environment modelling algorithm. This algorithm is based on the fusion of depth and colour information of a low-cost RGB-D camera to m...

    Jose Pardeiro, Javier V. Gómez in ROBOT2013: First Iberian Robotics Conferen… (2014)

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    Chapter and Conference Paper

    Improving Sampling-Based Path Planning Methods with Fast Marching

    Sampling-based path planning algorithms are well-known because they are able to find a path in a very short period of time, even in high-dimensional spaces. However, they are non-smooth, random paths far away ...

    Javier V. Gómez, David Álvarez in ROBOT2013: First Iberian Robotics Conferen… (2014)