Kriging Riemannian Data via Random Domain Decompositions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1853548
Abstract: Abstract Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, for example, in environmental sciences and in geoscience. The analysis of these data needs… read more here.
Keywords: kriging riemannian; riemannian data; local models; random domain ... See more keywords
Learning Deep Robotic Skills on Riemannian Manifolds
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DOI: 10.1109/access.2022.3217800
Abstract: In this paper, we propose RiemannianFlow, a deep generative model that allows robots to learn complex and stable skills evolving on Riemannian manifolds. Examples of Riemannian data in robotics include stiffness (symmetric and positive definite… read more here.
Keywords: robotic skills; deep robotic; skills riemannian; riemannian manifolds ... See more keywords