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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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    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

    Motion Planning Using Fast Marching Squared Method

    Robotic motion planning have been, and still is, a very intense research field. Many problems have been already solved and even real-time, optimal motion planning algorithms have been proposed and successfully...

    S. Garrido, L. Moreno, Javier V. Gómez in Motion and Operation Planning of Robotic Systems (2015)

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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

    How to Deal with Difficulty and Uncertainty in the Outdoor Trajectory Planning with Fast Marching

    This paper presents an interesting technique for finding the trajectory of an outdoor robot. This technique applies Fast Marching to a 3D surface terrain represented by a triangular mesh in order to calculate ...

    S. Garrido, Luis Moreno, Javier V. Gomez in ROBOT2013: First Iberian Robotics Conference (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)