Copertina

FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Welte, Edgar, Shi, Yitian, Wolf, Rosa, Gilles, Maximillian, Rayyes, Rania
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives -- A Survey
di: Welte, Edgar, et al.
Pubblicazione: (2025)

Diffusion Models for Robotic Manipulation: A Survey
di: Wolf, Rosa, et al.
Pubblicazione: (2025)

HOGraspFlow: Taxonomy-Aware Hand-Object Retargeting for Multi-Modal SE(3) Grasp Generation
di: Shi, Yitian, et al.
Pubblicazione: (2025)

vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
di: Shi, Yitian, et al.
Pubblicazione: (2024)

Tracing Back Error Sources to Explain and Mitigate Pose Estimation Failures
di: Schneider, Loris, et al.
Pubblicazione: (2026)

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

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

Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance
di: Fang, Kai, et al.
Pubblicazione: (2026)

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility
di: Shi, Yitian, et al.
Pubblicazione: (2025)

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

MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation
di: von Hartz, Jan Ole, et al.
Pubblicazione: (2025)

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

Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections
di: Zha, Lihan, et al.
Pubblicazione: (2023)

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling
di: Zhang, Yixian, et al.
Pubblicazione: (2025)

Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework
di: Jiang, Jian-Jian, et al.
Pubblicazione: (2025)

Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
di: Koirala, Prajwal, et al.
Pubblicazione: (2025)

Flow Matching Policy Gradients
di: McAllister, David, et al.
Pubblicazione: (2025)

Closed-Loop Robotic Manipulation of Transparent Substrates for Self-Driving Laboratories using Deep Learning Micro-Error Correction
di: Fontenot, Kelsey, et al.
Pubblicazione: (2025)

Effective Tuning Strategies for Generalist Robot Manipulation Policies
di: Zhang, Wenbo, et al.
Pubblicazione: (2024)

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

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
di: Cao, Jiahang, et al.
Pubblicazione: (2025)

$π_0$: A Vision-Language-Action Flow Model for General Robot Control
di: Black, Kevin, et al.
Pubblicazione: (2024)

Latent Policy Steering through One-Step Flow Policies
di: Im, Hokyun, et al.
Pubblicazione: (2026)

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation
di: Niu, Ye, et al.
Pubblicazione: (2025)

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
di: Gao, Chongkai, et al.
Pubblicazione: (2024)

Online Imitation Learning for Manipulation via Decaying Relative Correction through Teleoperation
di: Pan, Cheng, et al.
Pubblicazione: (2025)

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
di: Idoko, Simon, et al.
Pubblicazione: (2025)

AI-based Framework for Robust Model-Based Connector Mating in Robotic Wire Harness Installation
di: Kienle, Claudius, et al.
Pubblicazione: (2025)

BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
di: Yu, Dongjie, et al.
Pubblicazione: (2024)

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

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
di: Chang, Jianlei, et al.
Pubblicazione: (2025)

Fast and Robust Visuomotor Riemannian Flow Matching Policy
di: Ding, Haoran, et al.
Pubblicazione: (2024)

Adaptive Diffusion Policy Optimization for Robotic Manipulation
di: Jiang, Huiyun, et al.
Pubblicazione: (2025)

Efficient Data Collection for Robotic Manipulation via Compositional Generalization
di: Gao, Jensen, et al.
Pubblicazione: (2024)

Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
di: Xu, Xiaomeng, et al.
Pubblicazione: (2025)

Yell At Your Robot: Improving On-the-Fly from Language Corrections
di: Shi, Lucy Xiaoyang, et al.
Pubblicazione: (2024)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
di: Lv, Qi, et al.
Pubblicazione: (2025)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
di: Alles, Marvin, et al.
Pubblicazione: (2025)

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

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies
di: Wang, Shu-yuan, et al.
Pubblicazione: (2025)