Noémie Jaquier

Orcid: 0000-0003-3565-9414

According to our database1, Noémie Jaquier authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs.
CoRR, 2024

Riemannian Flow Matching Policy for Robot Motion Learning.
CoRR, 2024

Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
K-VIL: Keypoints-Based Visual Imitation Learning.
IEEE Trans. Robotics, October, 2023

Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges.
CoRR, 2023

An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets.
IROS, 2023

On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds.
IROS, 2023

2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization.
IEEE Robotics Autom. Lett., 2022

Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds.
CoRR, 2022

Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control.
Proceedings of the Robotics Research, 2022

A Riemannian Take on Human Motion Analysis and Retargeting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Tensor-variate mixture of experts for proportional myographic control of a robotic hand.
Robotics Auton. Syst., 2021

Geometry-aware manipulability learning, tracking, and transfer.
Int. J. Robotics Res., 2021

Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Analysis and Transfer of Human Movement Manipulability in Industry-like Activities.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control.
CoRR, 2019

Tensor-variate Mixture of Experts.
CoRR, 2019

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Learning from demonstration with model-based Gaussian process.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Geometry-aware Manipulability Transfer.
CoRR, 2018

Geometry-aware Tracking of Manipulability Ellipsoids.
Proceedings of the Robotics: Science and Systems XIV, 2018

2017
Learning manipulability ellipsoids for task compatibility in robot manipulation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


  Loading...