Closed-Loop Control of VLA Models

VLA: Vision-Language-Action

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15 papers3 papers in the last four weeks, down 25% on the four weeks before. 0.0% of all new papers.

RoboDuo: Attempt, Check and Atomic Recovery through Code for Vision-Language-Action Models
Oct 25, 2026Jie Wang, Bo Zhang, Renzhi Lu +1Vision-Language-Action Models Closed-Loop Control of VLA Models
Robotera · Huazhong University of Science and Technology · Tsinghua University
FIT-MAC: A Closed-Loop Multi-Agent Framework for Robust Vision-Language-Action Models
Oct 20, 2026Jiatong Li, Jisheng Dang, Qiangqiang Ma +6Closed-Loop Control of VLA Models Robustness of VLA Models
Lanzhou University · Northwest Normal University · Sun Yat-sen University +2
Fast-VLA: You Only Think Once for Robot Manipulation
Oct 15, 2026Kehong Gong, Guanli Hou, Xiaoxu Zheng +6Vision-Language-Action Models Closed-Loop Control of VLA Models
Huawei Technologies Co., Ltd · Huawei Central Research Institute
VLAQuantBench: Closed-Loop Evaluation of Post-Training Quantization for Vision-Language-Action Models
Sep 21, 2026Jiuyi Xu, Qing Jin, Meida Chen +3Mixed-Precision Quantization Closed-Loop Control of VLA Models
Colorado School of Mines · Independent Researcher · University of Central Florida +2
Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs
Sep 17, 2026Yiheng Ji, Xingru Zhou, Luis Sentis +1Closed-Loop Control of VLA Models Vision-Language-Action Models
The University of Texas at Austin · University of Central Florida
Reinforcement Learning for Real-Time Vision-Language-Action Policies
Sep 16, 2026Perry Dong, Kuo-Han Hung, Dorsa Sadigh +1Robot Policy Adaptation Closed-Loop Control of VLA Models
Stanford University
When Faster VLA Deployment Changes Closed-Loop Behavior: Task Success-Latency Analysis of SmolVLA Across PyTorch and ONNX Variants
Sep 12, 2026Rafiqul IslamClosed-Loop Control of VLA Models Efficient VLA Model Inference
Independent Researcher
VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation
Aug 17, 2026Dhia Naouali, Minghan Wu, Claudia Wong +2Code Generation for Robotics Robotic Manipulation
University of Monastir · St. Mildred’s-Lightbourn School · Cornell University +3
Acting While Understanding: Asynchronous Semantic-Action Decoupling for Real-Time Vision-Language-Action Models
Jun 13, 2026Shenhao Yan, Ge Wang, Qi Liu +7Efficient VLA Models Efficient VLM Inference
Northeastern University · Ising AI · CUHK-Shenzhen
Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
Jun 10, 2026Hyun Joe Jeong, Gokul Swamy, Andrea BajcsyLanguage Model-Based Control Vision-Language-Action Models
Robotics Institute Carnegie Mellon University
Closed-Loop Neural Activation Control in Vision-Language-Action Models
May 29, 2026Abhijith Babu, Ramneet Kaur, Nathaniel D. Bastian +5Closed-Loop Control of VLA Models Vision-Language-Action Models
Florida International University · SRI International · United States Military Academy +2
PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
May 19, 2026Peizheng Guo, Jingyao Wang, Changwen Zheng +1Robot Policy Learning Credit Assignment in RL
Institute of Software Chinese Academy of Sciences · University of Chinese Academy of Sciences
Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA
Apr 3, 2026Zihua Wang, Zhitao Lin, Ruibo Li +4Closed-Loop Control of VLA Models Vision-Language-Action Models
School of Computer Science and Engineering, Southeast University, Nanjing, China · Nanyang Technological University, Singapore · School of Cyber Science and Engineering, Southeast University, Nanjing, China +1
AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
Mar 15, 2026Peng Xu, Zhengnan Deng, Jiayan Deng +2Closed-Loop Control of VLA Models UAV Navigation
Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China · Department of Computer Science, Hofstra University, Hempstead, USA
Recursive Belief Vision Language Action Models
Feb 24, 2026Vaidehi Bagaria, Bijo Sebastian, Nirav Kumar PatelVision-Language-Action Models Long-Horizon Robotic Manipulation
Department of Engineering Design, Indian Institute of Technology, Madras, Chennai, India

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RoboDuo: Attempt, Check and Atomic Recovery through Code for Vision-Language-Action Models

Jie Wang, Bo Zhang, Renzhi Lu, Jianyu Chen

Robotera · Huazhong University of Science and Technology · Tsinghua University

Vision-Language-Action Models Closed-Loop Control of VLA Models Code Generation for Robotics

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Vision-Language-Action (VLA) models map a language instruction and the current observation directly to actions, without checking whether the instruction has been completed. For long-horizon tasks, a single failed step therefore goes unnoticed and leaves the whole task unfinished. Such failed episodes, however, often end with the task partially complete. Moreover, the unfinished steps are reusable atomic skills that recur across demonstrations. A failed attempt can thus be recovered by composing with atomic skills. We propose RoboDuo, a closed-loop dual-system framework that uses code as the interface between a coding agent and two VLAs. The agent writes a program that lets a full-task VLA attempt the whole task and checks whether it is complete; on failure, an atomic VLA finishes the remaining steps. Since the agent emits no actions and only decides which VLA for execution, RoboDuo wraps an existing full-task VLA without updating its weights. To train the atomic VLA and the coding agent with the completion-checking ability, we build LIBERO-Atomic, LIBERO-Code, and LIBERO-Judge from a single set of LIBERO demonstrations. RoboDuo consistently improves X-VLA and

π_{0.5}

on LIBERO and LIBERO-PRO, with the largest gains on long-horizon tasks, and recovers failed rollouts of a frozen full-task VLA on a real robot.