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