Noémie Jaquier

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Riemannian Manifolds

Top Venues

Publications

Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. ICRA (2024)
Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. CoRR (2024)
Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
Riemannian Flow Matching Policy for Robot Motion Learning. CoRR (2024)
Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR (2024)
Noémie Jaquier, Leonel Rozo, Tamim Asfour
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. ICRA (2024)
André Meixner, Mischa Carl, Franziska Krebs, Noémie Jaquier, Tamim Asfour
Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks. ICRA (2024)
Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, André Meixner, Franziska Krebs, Tamim Asfour
Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. ICRA (2024)
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
K-VIL: Keypoints-Based Visual Imitation Learning. IEEE Trans. Robotics 39 (5) (2023)
Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. CoRR (2023)
Noémie Jaquier, Leonel Rozo, Tamim Asfour
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. CoRR (2023)
Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. IROS (2023)
André Meixner, Franziska Krebs, Noémie Jaquier, Tamim Asfour
An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets. IROS (2023)
Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, André Meixner, Franziska Krebs, Tamim Asfour
Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. CoRR (2023)
Noémie Jaquier, Michael C. Welle, Andrej Gams, Kunpeng Yao, Bernardo Fichera, Aude Billard, Ales Ude, Tamim Asfour, Danica Kragic
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges. CoRR (2023)
Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour
Learning to Sequence and Blend Robot Skills via Differentiable Optimization. CoRR (2022)
Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
A Riemannian Take on Human Motion Analysis and Retargeting. CoRR (2022)
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
K-VIL: Keypoints-based Visual Imitation Learning. CoRR (2022)
Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour
Learning to Sequence and Blend Robot Skills via Differentiable Optimization. IEEE Robotics Autom. Lett. 7 (3) (2022)
Noémie Jaquier, Tamim Asfour
Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control. ISRR (2022)
Noémie Jaquier, Tamim Asfour
Riemannian geometry as a unifying theory for robot motion learning and control. CoRR (2022)
Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
A Riemannian Take on Human Motion Analysis and Retargeting. IROS (2022)
Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR (2022)
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRL (2021)
Noémie Jaquier, Robert Haschke, Sylvain Calinon
Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics Auton. Syst. 142 (2021)
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR (2021)
Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
Geometry-aware manipulability learning, tracking, and transfer. Int. J. Robotics Res. 40 (2-3) (2021)
Noémie Jaquier, Leonel Dario Rozo
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. NeurIPS (2020)
Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. IROS (2020)
Noémie Jaquier, Leonel Dario Rozo
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. CoRR (2020)
Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. CoRR (2020)
Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. IROS (2020)
Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. CoRR (2020)
Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRL (2019)
Noémie Jaquier, David Ginsbourger, Sylvain Calinon
Learning from demonstration with model-based Gaussian process. CoRR (2019)
Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRR (2019)
Noémie Jaquier, Robert Haschke, Sylvain Calinon
Tensor-variate Mixture of Experts. CoRR (2019)
Sylvain Calinon, Noémie Jaquier
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control. CoRR (2019)
Noémie Jaquier, David Ginsbourger, Sylvain Calinon
Learning from demonstration with model-based Gaussian process. CoRL (2019)
Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
Geometry-aware Manipulability Transfer. CoRR (2018)
Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
Geometry-aware Tracking of Manipulability Ellipsoids. Robotics: Science and Systems (2018)
Noémie Jaquier, Sylvain Calinon
Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG. IROS (2017)
Leonel Dario Rozo, Noémie Jaquier, Sylvain Calinon, Darwin G. Caldwell
Learning manipulability ellipsoids for task compatibility in robot manipulation. IROS (2017)