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cs.RO2026

FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation

Lifeng Zhuo, Wendi Chen, Han Xue +4

In contact-rich manipulation, action multimodality and reactivity dominate different stages of a single episode. Before contact, multiple trajectories might be equally valid, makin…

cs.RO2026

Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection

Yi Wang, Wendi Chen, Zimo Wen +8

Pretrained vision-language-action (VLA) policies provide strong language-conditioned manipulation knowledge, but they remain largely vision-driven and can struggle once manipulatio…

cs.RO2026

Rethinking Camera Choice: An Empirical Study on Fisheye Camera Properties in Robotic Manipulation

Han Xue, Nan Min, Xiaotong Liu +5

The adoption of fisheye cameras in robotic manipulation, driven by their exceptionally wide Field of View (FoV), is rapidly outpacing a systematic understanding of their downstream…

cs.RO2025

ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning

Wendi Chen, Han Xue, Yi Wang +6

Human-level contact-rich manipulation relies on the distinct roles of two key modalities: vision provides spatially rich but temporally slow global context, while force sensing cap…

cs.RO2025

SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration

Yang Jin, Jun Lv, Han Xue +3

Intelligent agents progress by continually refining their capabilities through actively exploring environments. Yet robot policies often lack sufficient exploration capability due…

cs.RO2025

Right-Side-Out: Learning Zero-Shot Sim-to-Real Garment Reversal

Chang Yu, Siyu Ma, Wenxin Du +9

Turning garments right-side out is a challenging manipulation task: it is highly dynamic, entails rapid contact changes, and is subject to severe visual occlusion. We introduce Rig…