Geometry-aware manipulability learning, tracking, and transfer von Jaquier, Noémie, Rozo, Leonel, Caldwell, Darwin G, Calinon, Sylvain

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Tensor-variate mixture of experts for proportional myographic control of a robotic hand von Jaquier, Noémie, Haschke, Robert, Calinon, Sylvain

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K-VIL: Keypoints-Based Visual Imitation Learning von Gao, Jianfeng, Tao, Zhi, Jaquier, Noemie, Asfour, Tamim

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Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses von Jaquier, Noémie, Connan, Mathilde, Castellini, Claudio, Calinon, Sylvain

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Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges von Jaquier, Noémie, Welle, Michael C, Gams, Andrej, Yao, Kunpeng, Fichera, Bernardo, Billard, Aude, Ude, Aleš, Asfour, Tamim, Kragic, Danica

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Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control von Jaquier, Noémie, Asfour, Tamim

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Riemannian geometry as a unifying theory for robot motion learning and control von Jaquier, Noémie, Asfour, Tamim

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High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds von Jaquier, Noémie, Rozo, Leonel

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Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning von Jaquier, Noémie, Rozo, Leonel, Asfour, Tamim

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On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds von Augenstein, Luis, Jaquier, Noémie, Asfour, Tamim, Rozo, Leonel

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A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics von Friedl, Katharina, Jaquier, Noémie, Lundell, Jens, Asfour, Tamim, Kragic, Danica

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Learning to Sequence and Blend Robot Skills via Differentiable Optimization von Jaquier, Noemie, Zhou, You, Starke, Julia, Asfour, Tamim

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Riemannian Flow Matching Policy for Robot Motion Learning von Braun, Max, Jaquier, Noémie, Rozo, Leonel, Asfour, Tamim

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Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks von Gao, Jianfeng, Jin, Xiaoshu, Krebs, Franziska, Jaquier, Noémie, Asfour, Tamim

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On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds von Klein, Holger, Jaquier, Noémie, Meixner, Andre, Asfour, Tamim

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K-VIL: Keypoints-based Visual Imitation Learning von Gao, Jianfeng, Tao, Zhi, Jaquier, Noémie, Asfour, Tamim

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Riemannian geometry as a unifying theory for robot motion learning and control von Jaquier, Noémie, Asfour, Tamim

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A Riemannian Take on Human Motion Analysis and Retargeting von Klein, Holger, Jaquier, Noémie, Meixner, Andre, Asfour, Tamim

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Learning to Sequence and Blend Robot Skills via Differentiable Optimization von Jaquier, Noémie, Zhou, You, Starke, Julia, Asfour, Tamim

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Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds von Daab, Tilman, Jaquier, Noémie, Dreher, Christian, Meixner, Andre, Krebs, Franziska, Asfour, Tamim

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