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20242026
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cs.RO2026

ReFPO: Reflow Regularization for Flow Matching Policy Gradients

Ge Wang, Yibo Peng, Fan Feng +10

We present Reflow-regularized Flow Matching Policy Gradients (ReFPO), a simple online RL method that adds explicit Reflow regularization to FPO for efficient flow-based control. We…

cs.RO2026

MimicIK: Real-Time Generative Inverse Kinematics from Teleoperation with FK Consistency

Jiahao Yang, Shenhao Yan, Fan Feng +5

Inverse kinematics (IK) remains a critical bottleneck for real-time robot manipulation. Classical numerical solvers achieve high geometric precision but often suffer from discontin…

cs.RO2026

Acting While Understanding: Asynchronous Semantic-Action Decoupling for Real-Time Vision-Language-Action Models

Shenhao Yan, Ge Wang, Qi Liu +7

Vision-Language-Action models (VLAs) have demonstrated strong task understanding and generalization in robotic manipulation, yet the high computational cost of full-model inference…

cs.RO2026

Elastic Queries Reinforcement Learning: Self-Aware Policy Execution for VLA Models

Ge Wang, Xinyu Tan, Xiang Li +11

Vision-language-action (VLA) models are powerful action generators for robot manipulation, but they are typically executed with fixed inference and replanning schedules. This rigid…

cs.RO2026

Learning Object Manipulation from Scratch via Contrastive Interaction

Tongle Shen, Caleb Chuck, Fan Feng +1

Contrastive Reinforcement Learning (CRL) has seen recent success in a wide variety of goal-conditioned robotics tasks by learning structured representations of the dynamics. Howeve…

cs.RO2026

SCAR: Self-Supervised Continuous Action Representation Learning

Hongjia Liu, Fan Feng, Minghao Fu +3

Despite the central role of action in embodied intelligence, learning transferable action representations from visual transitions remains a fundamental challenge, particularly when…

cs.RO2026

KoopmanFlow: Spectrally Decoupled Generative Control Policy via Koopman Structural Bias

Chengsi Yao, Ge Wang, Kai Kang +9

Generative Control Policies (GCPs) show immense promise in robotic manipulation but struggle to simultaneously model stable global motions and high-frequency local corrections. Whi…