Noémie Jaquier

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Sylvain CalinonIdiap Research InstituteVerified email at idiap.ch
Leonel RozoBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Tamim AsfourKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Darwin G. CaldwellDept. of Advanced Robotics, Italian Institute of Technology - Istituto Italiano di TecnologiaVerified email at iit.it
Viacheslav BorovitskiyPostdoctoral Fellow at ETH ZürichVerified email at inf.ethz.ch
Andre MeixnerKarlsruhe Institute of TechnologyVerified email at kit.edu
Alexander TereninCornell UniversityVerified email at cornell.edu
Mathias BürgerBosch Center for Artificial IntelligenceVerified email at ist.uni-stuttgart.de
Claudio CastelliniProfessor of Medical Robotics at FAU Erlangen and senior researcher at the German Aerospace CenterVerified email at fau.de
David GinsbourgerUniversity of BernVerified email at stat.unibe.ch
Andrei SmolenskySaint Petersburg State UniversityVerified email at spbu.ru
Jianfeng GaoKarlsruhe Institute of TechnologyVerified email at kit.edu
Mathilde ConnanGerman Aerospace CenterVerified email at dlr.de
Robert HaschkeBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Franziska KrebsKarlsruhe Institute of TechnologyVerified email at kit.edu
Hakan GirginIdiap, EPFLVerified email at idiap.ch
You ZhouMercedes-Benz AGVerified email at mercedes-benz.com
Julia StarkePostdoc at Karlsruhe Institute of TechnologyVerified email at kit.edu
Michael C. WellePostdoctoral researcher, KTH Royal Institute of TechnologyVerified email at kth.se
Aude BillardFull Professor, EPFLVerified email at epfl.ch

Noémie Jaquier

Postdoctoral Researcher, H2T, Karlsruhe Institute of Technology

Verified email at kit.edu - Homepage

robotics machine learning robot learning Riemannian geometry


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Geometry-aware Manipulability Learning, Tracking and Transfer N Jaquier, L Rozo, DG Caldwell, S Calinon International Journal of Robotics Research (IJRR) 20 (2-3), 624-650, 2021	64	2021
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning N Jaquier, L Rozo, S Calinon, M Bürger Conference on Robot Learning (CoRL), 2019	57	2019
Learning from demonstration with model-based Gaussian process N Jaquier, D Ginsbourger, S Calinon Conference on Robot Learning (CoRL), 2019	53	2019
Learning manipulability ellipsoids for task compatibility in robot manipulation L Rozo, N Jaquier, S Calinon, DG Caldwell 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	48	2017
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels N Jaquier, V Borovitskiy, A Smolensky, A Terenin, T Asfour, L Rozo 5th Annual Conference on Robot Learning, 2021	32	2021
Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG N Jaquier, S Calinon 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	32	2017
Geometry-aware tracking of manipulability ellipsoids N Jaquier, L Rozo, DG Caldwell, S Calinon Robotics: Science and Systems (R: SS), Pittsburgh, USA, 2018	26	2018
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds N Jaquier, L Rozo Advances in Neural Information Processing Systems 33, 2020	25	2020
Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses N Jaquier, M Connan, C Castellini, S Calinon Technologies 5 (4), 64, 2017	20	2017
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities N Jaquier, L Rozo, S Calinon 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020	13	2020
K-VIL: Keypoints-Based Visual Imitation Learning J Gao, Z Tao, N Jaquier, T Asfour IEEE Transactions on Robotics, 2023	10	2023
A Riemannian Take on Human Motion Analysis and Retargeting H Klein, N Jaquier, A Meixner, T Asfour IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022	8	2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization N Jaquier, Y Zhou, J Starke, T Asfour Robotics and Automation letters 7 (3), 8431 - 8438, 2022	7	2022
Tensor-variate mixture of experts for proportional myographic control of a robotic hand N Jaquier, R Haschke, S Calinon Robotics and Autonomous Systems, 2021	7*	2021
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model H Girgin, E Pignat, N Jaquier, S Calinon 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020	7	2020
Riemannian geometry as a unifying theory for robot motion learning and control N Jaquier, T Asfour International Symposium on Robotics Research (ISRR) - Blue Sky, 2022	5	2022
On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds H Klein, N Jaquier, A Meixner, T Asfour 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023	4	2023
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges N Jaquier, MC Welle, A Gams, K Yao, B Fichera, A Billard, A Ude, ... arXiv preprint arXiv:2311.18044, 2023	3	2023
Method for controlling a robot and robot controller L Rozo, N Jaquier US Patent 2,021,178,585, 2021	3	2021
Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds N Jaquier, C Castellini, S Calinon Proceedings of the Myoelectric Controls Symposium (MEC), Fredericton, NB …, 2017	3	2017

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