Leonel Rozo

収録論文 33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
• Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds
  2025/9/1
• Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
  2025/8/1
• Geometric Contact Flows: Contactomorphisms for Dynamics and Control
  2025/6/1
• Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
  2025/4/1
• Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
  2025/3/1
• Fast and Robust Visuomotor Riemannian Flow Matching Policy
  2024/12/1
• Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions
  2024/11/1
• Riemannian Flow Matching Policy for Robot Motion Learning
  2024/3/1
• Neural Contractive Dynamical Systems
  2024/1/1
• Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
  2023/10/1
• Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
  2023/5/1
• The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
  2023/4/1
• Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
  2022/11/1
• Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
  2022/10/1
• Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints
  2022/9/1
• Reactive Motion Generation on Learned Riemannian Manifolds
  2022/3/1
• Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat\'ern Kernels
  2021/11/1
• Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization
  2021/10/1
• Orientation Probabilistic Movement Primitives on Riemannian Manifolds
  2021/10/1
• Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations
  2021/9/1
• Learning Riemannian Manifolds for Geodesic Motion Skills
  2021/6/1
• Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
  2020/8/1
• Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks
  2020/8/1
• Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
  2019/10/1
• Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
  2019/8/1
• Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
  2019/5/1
• Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives
  2019/3/1
• Geometry-aware Manipulability Learning, Tracking and Transfer
  2018/11/1
• Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints
  2017/12/1
• Kernelized Movement Primitives
  2017/8/1
• Learning Task Priorities from Demonstrations
  2017/7/1
• Generalized Task-Parameterized Skill Learning
  2017/7/1