Search Results for author: Nicolas Schreiber

Found 2 papers, 1 papers with code

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects

no code implementations15 Dec 2023 Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich

Policy learning in robot-assisted surgery (RAS) lacks data efficient and versatile methods that exhibit the desired motion quality for delicate surgical interventions.

Imitation Learning

Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors

1 code implementation17 Oct 2022 Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksandar Taranovic, Gerhard Neumann

We find that the geometric descriptors greatly help in generalizing to new task configurations and that combining them with our distribution-matching objective is crucial for representing and reproducing versatile behavior.

Imitation Learning

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