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ORCIDNoémie Jaquier
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2020 – today
- 2024
[c19]Noémie Jaquier, Leonel Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. ICML 2024- [c18]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: 242-249 - [c17]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: 2317-2323 - [c16]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: 13015-13022 - [c15]Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour:
Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. ICRA 2024: 16850-16857 - [c14]Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Riemannian Flow Matching Policy for Robot Motion Learning. IROS 2024: 5144-5151 - [i24]Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour:
Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. CoRR abs/2403.03270 (2024) - [i23]Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Riemannian Flow Matching Policy for Robot Motion Learning. CoRR abs/2403.10672 (2024) - [i22]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 abs/2407.08086 (2024) - [i21]Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic:
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. CoRR abs/2410.18868 (2024) - [i20]Luis Augenstein, Noémie Jaquier, Tamim Asfour, Leonel Rozo:
On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds. CoRR abs/2410.20850 (2024) - [i19]Haoran Ding, Noémie Jaquier, Jan Peters, Leonel Rozo:
Fast and Robust Visuomotor Riemannian Flow Matching Policy. CoRR abs/2412.10855 (2024) - 2023
- [j4]Jianfeng Gao
, Zhi Tao, Noémie Jaquier, Tamim Asfour:
K-VIL: Keypoints-Based Visual Imitation Learning. IEEE Trans. Robotics 39(5): 3888-3908 (2023) - [c13]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: 2346-2353 - [c12]André Meixner, Franziska Krebs, Noémie Jaquier, Tamim Asfour:
An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets. IROS 2023: 4912-4919 - [i18]Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour:
On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. CoRR abs/2307.15440 (2023) - [i17]Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. CoRR abs/2310.07902 (2023) - [i16]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 abs/2311.18044 (2023) - [i15]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 abs/2312.08030 (2023) - 2022
- [j3]Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour:
Learning to Sequence and Blend Robot Skills via Differentiable Optimization. IEEE Robotics Autom. Lett. 7(3): 8431-8438 (2022) - [c11]Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour:
A Riemannian Take on Human Motion Analysis and Retargeting. IROS 2022: 5210-5217 - [c10]Noémie Jaquier, Tamim Asfour:
Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control. ISRR 2022: 395-403 - [i14]Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour:
Learning to Sequence and Blend Robot Skills via Differentiable Optimization. CoRR abs/2206.00559 (2022) - [i13]Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour:
A Riemannian Take on Human Motion Analysis and Retargeting. CoRR abs/2208.01372 (2022) - [i12]Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour:
K-VIL: Keypoints-based Visual Imitation Learning. CoRR abs/2209.03277 (2022) - [i11]Noémie Jaquier, Tamim Asfour:
Riemannian geometry as a unifying theory for robot motion learning and control. CoRR abs/2209.15539 (2022) - [i10]Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR abs/2210.01672 (2022) - 2021
- [j2]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) - [j1]Noémie Jaquier, Robert Haschke, Sylvain Calinon:
Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics Auton. Syst. 142: 103812 (2021) - [c9]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: 794-805 - [i9]Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR abs/2111.01460 (2021) - 2020
- [c8]Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon:
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. IROS 2020: 5395-5401 - [c7]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon:
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. IROS 2020: 11131-11138 - [c6]Noémie Jaquier, Leonel Dario Rozo:
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. NeurIPS 2020 - [i8]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon:
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. CoRR abs/2008.01402 (2020) - [i7]Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon:
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. CoRR abs/2008.02540 (2020) - [i6]Noémie Jaquier, Leonel Dario Rozo:
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. CoRR abs/2010.10904 (2020)
2010 – 2019
- 2019
- [c5]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger:
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRL 2019: 233-246 - [c4]Noémie Jaquier, David Ginsbourger, Sylvain Calinon:
Learning from demonstration with model-based Gaussian process. CoRL 2019: 247-257 - [i5]Noémie Jaquier, Robert Haschke, Sylvain Calinon:
Tensor-variate Mixture of Experts. CoRR abs/1902.11104 (2019) - [i4]Sylvain Calinon, Noémie Jaquier:
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control. CoRR abs/1909.05946 (2019) - [i3]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger:
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRR abs/1910.04998 (2019) - [i2]Noémie Jaquier, David Ginsbourger, Sylvain Calinon:
Learning from demonstration with model-based Gaussian process. CoRR abs/1910.05005 (2019) - 2018
- [c3]Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware Tracking of Manipulability Ellipsoids. Robotics: Science and Systems 2018 - [i1]Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware Manipulability Transfer. CoRR abs/1811.11050 (2018) - 2017
- [c2]Noémie Jaquier, Sylvain Calinon:
Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG. IROS 2017: 59-64 - [c1]Leonel Dario Rozo, Noémie Jaquier, Sylvain Calinon, Darwin G. Caldwell:
Learning manipulability ellipsoids for task compatibility in robot manipulation. IROS 2017: 3183-3189
Coauthor Index
aka: Leonel Dario Rozo
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