:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Songwei, Wu, Zhiduo, Jiang, Wandong, Sun, Guanghu, Xie, Rui, Zhao, Hong, Liu, Yang, Liu
Format:	Preprint
Published:	2026
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2601.23087
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
by: Xie, Guanghu, et al.
Published: (2025)

Action Flow Matching for Continual Robot Learning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)

FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation
by: Zhang, Qinglun, et al.
Published: (2024)

HDCNet: A Hybrid Depth Completion Network for Grasping Transparent and Reflective Objects
by: Xie, Guanghu, et al.
Published: (2025)

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

Flow Matching Imitation Learning for Multi-Support Manipulation
by: Rouxel, Quentin, et al.
Published: (2024)

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation
by: Wang, Sen, et al.
Published: (2025)

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation
by: Wang, Kuanning, et al.
Published: (2026)

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

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching
by: Chisari, Eugenio, et al.
Published: (2024)

Learning Native Continuation for Action Chunking Flow Policies
by: Liu, Yufeng, et al.
Published: (2026)

FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation
by: Liu, Litao, et al.
Published: (2024)

Affordance-based Robot Manipulation with Flow Matching
by: Zhang, Fan, et al.
Published: (2024)

Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models
by: Soleymanzadeh, Davood, et al.
Published: (2026)

Continuum Robot Modeling with Action Conditioned Flow Matching
by: Lin, Jiong, et al.
Published: (2026)

DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching
by: Chen, Jiayi, et al.
Published: (2026)

Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation
by: Shaoul, Yorai, et al.
Published: (2025)

ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
by: Funk, Niklas, et al.
Published: (2024)

Action-to-Action Flow Matching
by: Jia, Jindou, et al.
Published: (2026)

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation
by: Sun, Wandong, et al.
Published: (2025)

HybridFlow: A Two-Step Generative Policy for Robotic Manipulation
by: Dong, Zhenchen, et al.
Published: (2026)

VITA: Vision-to-Action Flow Matching Policy
by: Gao, Dechen, et al.
Published: (2025)

MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation
by: Sheng, Juyi, et al.
Published: (2025)

Translating Flow to Policy via Hindsight Online Imitation
by: Zheng, Yitian, et al.
Published: (2025)

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
by: Yan, Ge, et al.
Published: (2025)

FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation
by: Welte, Edgar, et al.
Published: (2026)

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

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

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

Efficient Hybrid SE(3)-Equivariant Visuomotor Flow Policy via Spherical Harmonics for Robot Manipulation
by: Zhang, Qinglun, et al.
Published: (2026)

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

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

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
by: Reuss, Moritz, et al.
Published: (2025)

LoLA: Long Horizon Latent Action Learning for General Robot Manipulation
by: Wang, Xiaofan, et al.
Published: (2025)

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

LAOF: Robust Latent Action Learning with Optical Flow Constraints
by: Bu, Xizhou, et al.
Published: (2025)

STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation
by: Tian, Yuxuan, et al.
Published: (2026)

Demystifying Action Space Design for Robotic Manipulation Policies
by: Feng, Yuchun, et al.
Published: (2026)

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow
by: Chen, Yixiang, et al.
Published: (2025)