Learning Riemannian Manifolds for Geodesic Motion Skills

For robots to work alongside humans and perform in unstructured environments, they must learn new motion skills and adapt them to unseen situations on the fly. This demands learning models that capture relevant motion patterns, while offering enough flexibility to adapt the encoded skills to new req...

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Hauptverfasser:	Beik-Mohammadi, Hadi, Hauberg, Søren, Arvanitidis, Georgios, Neumann, Gerhard, Rozo, Leonel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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