Noémie Jaquier

収録論文 25本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Let the Dynamics Flow: Stable Flow Matching Dynamical Systems
  2026/6/1
• Symmetries Here and There, Combined Everywhere: Cross-space Symmetry Compositions in Robotics
  2026/5/1
• Reduced-order Control and Geometric Structure of Learned Lagrangian Latent Dynamics
  2026/2/1
• Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds
  2025/9/1
• Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
  2025/8/1
• Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
  2025/3/1
• Fast and Robust Visuomotor Riemannian Flow Matching Policy
  2024/12/1
• Riemannian Flow Matching Policy for Robot Motion Learning
  2024/3/1
• Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks
  2024/3/1
• Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds
  2023/12/1
• Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
  2023/11/1
• Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
  2023/10/1
• On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds
  2023/7/1
• Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
  2022/10/1
• Riemannian geometry as a unifying theory for robot motion learning and control
  2022/9/1
• K-VIL: Keypoints-based Visual Imitation Learning
  2022/9/1
• A Riemannian Take on Human Motion Analysis and Retargeting
  2022/8/1
• Learning to Sequence and Blend Robot Skills via Differentiable Optimization
  2022/6/1
• Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat\'ern Kernels
  2021/11/1
• Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
  2020/8/1
• Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
  2020/8/1
• Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
  2019/10/1
• Learning from demonstration with model-based Gaussian process
  2019/10/1
• Tensor-variate Mixture of Experts for Proportional Myographic Control of a Robotic Hand
  2019/2/1
• Geometry-aware Manipulability Learning, Tracking and Transfer
  2018/11/1