Learning Riemannian Manifolds for Geodesic Motion Skills

8 June 2021

Papers citing "Learning Riemannian Manifolds for Geodesic Motion Skills"

8 / 8 papers shown

Title
On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds Luis Augenstein Noémie Jaquier Tamim Asfour Leonel Rozo 30 0 0 28 Oct 2024
A Structured Prediction Approach for Robot Imitation Learning Anqing Duan Iason Batzianoulis Raffaello Camoriano Lorenzo Rosasco Daniele Pucci A. Billard 21 4 0 26 Sep 2023
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 28 15 0 06 Nov 2022
Riemannian geometry as a unifying theory for robot motion learning and control Noémie Jaquier Tamim Asfour AI4CE 29 5 0 30 Sep 2022
Unified Control Framework for Real-Time Interception and Obstacle Avoidance of Fast-Moving Objects with Diffusion Variational Autoencoder Apan Dastider Hao Fang Mingjie Lin 26 1 0 27 Sep 2022
Human-Guided Planning for Complex Manipulation Tasks Using the Screw Geometry of Motion Dasharadhan Mahalingam N. Chakraborty 22 6 0 13 Sep 2022
Pulling back information geometry Georgios Arvanitidis Miguel González Duque Alison Pouplin Dimitris Kalatzis Søren Hauberg DRL 24 14 0 09 Jun 2021
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020