Cover Image

Fast and Robust Visuomotor Riemannian Flow Matching Policy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Haoran, Jaquier, Noémie, Peters, Jan, Rozo, Leonel
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Riemannian Flow Matching Policy for Robot Motion Learning
by: Braun, Max, et al.
Published: (2024)

Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
by: Jaquier, Noémie, et al.
Published: (2023)

Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
by: Rozo, Leonel, et al.
Published: (2025)

Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds
by: Augenstein, Luis, et al.
Published: (2025)

Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
by: Jaquier, Noémie, et al.
Published: (2022)

Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
by: Ding, Haoran, et al.
Published: (2025)

Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation
by: Jia, Bofang, et al.
Published: (2024)

SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
by: Xue, Rong, et al.
Published: (2025)

FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
by: He, Qian, et al.
Published: (2026)

On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds
by: Augenstein, Luis, et al.
Published: (2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
by: Wang, Zhendong, et al.
Published: (2024)

Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions
by: Mohammadi, Hadi Beik, et al.
Published: (2024)

Geometric Contact Flows: Contactomorphisms for Dynamics and Control
by: Testa, Andrea, et al.
Published: (2025)

Learning Generalizable Visuomotor Policy through Dynamics-Alignment
by: Lee, Dohyeok, et al.
Published: (2025)

IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
by: Rana, Krishan, et al.
Published: (2025)

Flow Matching Policy Gradients
by: McAllister, David, et al.
Published: (2025)

Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
by: Zhang, Yuhang, et al.
Published: (2025)

Real-Time Operator Takeover for Visuomotor Diffusion Policy Training
by: Moletta, Marco, et al.
Published: (2025)

Trajectory-Consistent Flow Matching for Robust Visuomotor Policy Learning
by: Ahmed, Riad, et al.
Published: (2026)

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation
by: Yang, Jingyun, et al.
Published: (2023)

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
by: Zhang, Tonghe, et al.
Published: (2025)

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory
by: Lei, Yuheng, et al.
Published: (2026)

Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
by: Simmoteit, Ken-Joel, et al.
Published: (2025)

VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation
by: Zhai, Xuanran, et al.
Published: (2025)

Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
by: Jaquier, Noémie, et al.
Published: (2023)

Hierarchical Policy Blending as Inference for Reactive Robot Control
by: Hansel, Kay, et al.
Published: (2022)

ImitDiff: Transferring Foundation-Model Priors for Distraction Robust Visuomotor Policy
by: Dong, Yuhang, et al.
Published: (2025)

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
by: Lyu, Mingyang, et al.
Published: (2025)

Imagination at Inference: Synthesizing In-Hand Views for Robust Visuomotor Policy Inference
by: Ding, Haoran, et al.
Published: (2025)

Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving
by: Zhu, Tianze, et al.
Published: (2026)

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control
by: Kim, Donghu, et al.
Published: (2026)

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
by: Li, Tianyu, et al.
Published: (2025)

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
by: Kang, Sinjae, et al.
Published: (2026)

A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
by: Friedl, Katharina, et al.
Published: (2024)

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
by: Gupta, Pranay, et al.
Published: (2025)

The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
by: Kaidanov, Oleg, et al.
Published: (2024)

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
by: Yang, Shunpeng, et al.
Published: (2026)

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
by: Ze, Yanjie, et al.
Published: (2024)

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
by: Bohlinger, Nico, et al.
Published: (2025)

IRIS: Learning-Driven Task-Specific Cinema Robot Arm for Visuomotor Motion Control
by: Cheng, Qilong, et al.
Published: (2026)