Cover Image

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Pengyuan, Zhang, Pingrui, Wang, Zhigang, Wang, Dong, Zhao, Bin, Li, Xuelong
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
by: Zhang, Pingrui, et al.
Published: (2025)

MoMa-Kitchen: A 100K+ Benchmark for Affordance-Grounded Last-Mile Navigation in Mobile Manipulation
by: Zhang, Pingrui, et al.
Published: (2025)

Mixture of Horizons in Action Chunking
by: Jing, Dong, et al.
Published: (2025)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
by: Jiang, Guangqi, et al.
Published: (2025)

Leave No Observation Behind: Real-time Correction for VLA Action Chunks
by: Sendai, Kohei, et al.
Published: (2025)

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
by: Wu, Yiming, et al.
Published: (2025)

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
by: Ruan, Hongzhi, et al.
Published: (2026)

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

InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation
by: Lee, Andrew, et al.
Published: (2024)

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction
by: Xia, Wenke, et al.
Published: (2025)

LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models
by: Shen, Boyang, et al.
Published: (2026)

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning
by: Ang, Sining, et al.
Published: (2026)

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations
by: Pace, Maximus A., et al.
Published: (2025)

RADAR: Closed-Loop Robotic Data Generation via Semantic Planning and Autonomous Causal Environment Reset
by: Wang, Yongzhong, et al.
Published: (2026)

Efficient Diffusion as Low Light Enhancer
by: Lan, Guanzhou, et al.
Published: (2024)

DNAct: Diffusion Guided Multi-Task 3D Policy Learning
by: Yan, Ge, et al.
Published: (2024)

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
by: Chen, Xinyi, et al.
Published: (2025)

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models
by: Zhang, Yanyan, et al.
Published: (2026)

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
by: Zhou, Yang, et al.
Published: (2026)

HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
by: Hong, Yining, et al.
Published: (2026)

Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
by: Zhang, Ninghao, et al.
Published: (2026)

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025)

RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
by: Garcia-Cobo, Guillermo, et al.
Published: (2025)

From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
by: Zhao, Zhida, et al.
Published: (2025)

NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning
by: Fu, Jiahui, et al.
Published: (2026)

VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections
by: Kasaei, Hamidreza, et al.
Published: (2024)

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling
by: Wang, Boyuan, et al.
Published: (2025)

Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V
by: Zhi, Peiyuan, et al.
Published: (2024)

H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
by: Lu, Yiyang, et al.
Published: (2025)

M4Diffuser: Multi-View Diffusion Policy with Manipulability-Aware Control for Robust Mobile Manipulation
by: Dong, Ju, et al.
Published: (2025)

NEBULA: Do We Evaluate Vision-Language-Action Agents Correctly?
by: Peng, Jierui, et al.
Published: (2025)

DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
by: Wang, Yuran, et al.
Published: (2025)

CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
by: Yu, Zhuoyuan, et al.
Published: (2025)

Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
by: Liu, Chenyv, et al.
Published: (2026)

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models
by: Tang, Zuojin, et al.
Published: (2026)

ROSA: Harnessing Robot States for Vision-Language and Action Alignment
by: Wen, Yuqing, et al.
Published: (2025)

A Physical Agentic Loop for Language-Guided Grasping with Execution-State Monitoring
by: Wang, Wenze, et al.
Published: (2026)

Interactive Post-Training for Vision-Language-Action Models
by: Tan, Shuhan, et al.
Published: (2025)