Learning Native Continuation for Action Chunking Flow Policies
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yufeng, Yu, Hang, Zhao, Juntu, Li, Bocheng, Zhang, Di, Li, Mingzhu, Wu, Wenxuan, Hu, Yingdong, Xie, Junyuan, Guo, Junliang, Wang, Dequan, Gao, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do You Need Proprioceptive States in Visuomotor Policies?
by: Zhao, Juntu, et al.
Published: (2025)
by: Zhao, Juntu, et al.
Published: (2025)
Point What You Mean: Visually Grounded Instruction Policy
by: Yu, Hang, et al.
Published: (2025)
by: Yu, Hang, et al.
Published: (2025)
HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning
by: Zhang, Jiyao, et al.
Published: (2026)
by: Zhang, Jiyao, et al.
Published: (2026)
PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking
by: Nie, Junnan, et al.
Published: (2026)
by: Nie, Junnan, et al.
Published: (2026)
Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)
by: Black, Kevin, et al.
Published: (2025)
Implicit Action Chunking for Smooth Continuous Control
by: Liang, Bosun, et al.
Published: (2026)
by: Liang, Bosun, et al.
Published: (2026)
Learning High-Frequency Continuous Action Chunks in Latent Space
by: Wang, Kunyun, et al.
Published: (2026)
by: Wang, Kunyun, et al.
Published: (2026)
Temporal Action Selection for Action Chunking
by: Weng, Yueyang, et al.
Published: (2025)
by: Weng, Yueyang, et al.
Published: (2025)
Set-Supervised Diffusion Policy: Learning Action-Chunking Diffusion through Corrections
by: Li, Zhaoting, et al.
Published: (2026)
by: Li, Zhaoting, et al.
Published: (2026)
Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy
by: Wu, Pengyuan, et al.
Published: (2026)
by: Wu, Pengyuan, et al.
Published: (2026)
PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
by: Song, Wenxuan, et al.
Published: (2025)
by: Song, Wenxuan, et al.
Published: (2025)
CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation
by: Songwei, Wu, et al.
Published: (2026)
by: Songwei, Wu, et al.
Published: (2026)
Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance
by: Fang, Kai, et al.
Published: (2026)
by: Fang, Kai, et al.
Published: (2026)
Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
by: Lin, Fanqi, et al.
Published: (2025)
by: Lin, Fanqi, et al.
Published: (2025)
VITA: Vision-to-Action Flow Matching Policy
by: Gao, Dechen, et al.
Published: (2025)
by: Gao, Dechen, et al.
Published: (2025)
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
by: Yang, Chenyu, et al.
Published: (2026)
by: Yang, Chenyu, et al.
Published: (2026)
Action-to-Action Flow Matching
by: Jia, Jindou, et al.
Published: (2026)
by: Jia, Jindou, et al.
Published: (2026)
VQ-ACE: Efficient Policy Search for Dexterous Robotic Manipulation via Action Chunking Embedding
by: Yang, Chenyu, et al.
Published: (2024)
by: Yang, Chenyu, et al.
Published: (2024)
Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
by: Liang, Yuanchang, et al.
Published: (2026)
by: Liang, Yuanchang, et al.
Published: (2026)
LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies
by: Son, Dongwoo, et al.
Published: (2025)
by: Son, Dongwoo, et al.
Published: (2025)
VLA Model Post-Training via Action-Chunked PPO and Self Behavior Cloning
by: Wang, Si-Cheng, et al.
Published: (2025)
by: Wang, Si-Cheng, et al.
Published: (2025)
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
by: He, Qian, et al.
Published: (2026)
by: He, Qian, et al.
Published: (2026)
Real-Time Robot Execution with Masked Action Chunking
by: Wang, Haoxuan, et al.
Published: (2026)
by: Wang, Haoxuan, et al.
Published: (2026)
Action-Prior Denoising for Smooth Real-Time Chunking
by: Liu, Dongyang, et al.
Published: (2026)
by: Liu, Dongyang, et al.
Published: (2026)
PerFACT: Motion Policy with LLM-Powered Dataset Synthesis and Fusion Action-Chunking Transformers
by: Soleymanzadeh, Davood, et al.
Published: (2025)
by: Soleymanzadeh, Davood, et al.
Published: (2025)
Graph-Fused Vision-Language-Action for Policy Reasoning in Multi-Arm Robotic Manipulation
by: Li, Shunlei, et al.
Published: (2025)
by: Li, Shunlei, et al.
Published: (2025)
Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games
by: Zhao, Juntu, et al.
Published: (2025)
by: Zhao, Juntu, et al.
Published: (2025)
Mixture of Horizons in Action Chunking
by: Jing, Dong, et al.
Published: (2025)
by: Jing, Dong, et al.
Published: (2025)
Learning to Perform Low-Contact Autonomous Nasotracheal Intubation by Recurrent Action-Confidence Chunking with Transformer
by: Tian, Yu, et al.
Published: (2025)
by: Tian, Yu, et al.
Published: (2025)
EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control
by: Zhang, Chushan, et al.
Published: (2026)
by: Zhang, Chushan, et al.
Published: (2026)
VAMPO: Policy Optimization for Improving Visual Dynamics in Video Action Models
by: Ge, Zirui, et al.
Published: (2026)
by: Ge, Zirui, et al.
Published: (2026)
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies
by: Yuan, Chengbo, et al.
Published: (2025)
by: Yuan, Chengbo, et al.
Published: (2025)
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
by: Lyu, Mingyang, et al.
Published: (2025)
by: Lyu, Mingyang, et al.
Published: (2025)
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
by: Liu, Yuejiang, et al.
Published: (2024)
by: Liu, Yuejiang, et al.
Published: (2024)
Action Chunking with Transformers for Image-Based Spacecraft Guidance and Control
by: Posadas-Nava, Alejandro, et al.
Published: (2025)
by: Posadas-Nava, Alejandro, et al.
Published: (2025)
Training-Time Action Conditioning for Efficient Real-Time Chunking
by: Black, Kevin, et al.
Published: (2025)
by: Black, Kevin, et al.
Published: (2025)
DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching
by: Chen, Jiayi, et al.
Published: (2026)
by: Chen, Jiayi, et al.
Published: (2026)
ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
Similar Items
-
Do You Need Proprioceptive States in Visuomotor Policies?
by: Zhao, Juntu, et al.
Published: (2025) -
Point What You Mean: Visually Grounded Instruction Policy
by: Yu, Hang, et al.
Published: (2025) -
HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning
by: Zhang, Jiyao, et al.
Published: (2026) -
PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking
by: Nie, Junnan, et al.
Published: (2026) -
Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)