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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...
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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 ...
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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...
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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...
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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 ...
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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 ...