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From the 1 of 13 linked papers with an AI index.

collaborators

13 papers

cs.RO2026

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies

Shaoguang Wang, Weiyu Guo, Rushi Dai +3

Task-vector arithmetic offers a closed-form way to modify a model, yet its behavioral locality remains unclear in closed-loop robot control. We present a target-and-control audit o…

cs.AI2026

The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection

Ziyang Rao, Yiren Zhao, Weiyu Guo +3

The paper interprets uncertainty in flow‑matching based action models as geometric deviation in the velocity field and proposes a cost‑free proxy called denoising acceleration that…

cs.CV2026

SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining

Yi Cui, Zilin Wang, Yijie Xu +5

Construction-safety models must handle concrete deployment risks, such as a worker standing near a scaffold edge without guardrails, rather than only recognize common objects in cu…

cs.RO2026

Source-Lifted Flow Matching for Intervenable Multimodal Imitation

He Zhang, Ying Sun, Pengteng Li +6

Flow-matching policies are promising for imitation learning because they model complex multimodal action distributions. However, their stochasticity is largely passive: repeated sa…

cs.RO2026

Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action

Pengteng Li, Weiyu Guo, He Zhang +4

We introduce SOMA, the Spatial Memory framework for Out-of-Vision Manipulation in Vision-Language-Action (VLA) models. Most existing VLAs implicitly assume that task-relevant objec…

cs.CV2026

Where to Focus: Query-Modulated Multimodal Keyframe Selection for Long Video Understanding

Shaoguang Wang, Weiyu Guo, Ziyang Chen +2

Long video understanding remains a formidable challenge for Multimodal Large Language Models (MLLMs) due to the prohibitive computational cost of processing dense frame sequences.…