activity
20232026
most citedInteractive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning

12 citations · 16 across the 23 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

Language-Forcing: Advancing Humanoid Loco-Manipulation via Semantic Alignment of Whole-Body World Action Models

Yanjun Li, Jiarui Ye, Weiyu Guo +7

World Action Models (WAMs) jointly predict robot actions and future observations. However, their visual prediction objectives do not explicitly distinguish task-relevant transition…

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.RO2026

How Should Vision-Language-Action Models Use Proprioceptive State?

Yiren Zhao, Ziyang Chen, Ziyang Rao +5

Recent Vision-Language-Action (VLA) models almost universally take robot proprioceptive state as input, yet wire it in incompatible ways -- serialized into text prompts, projected…

cs.RO2026

Source-Lifted Flow Matching for Intervenable Multimodal Imitation

He Zhang, Ying Sun, Pengteng Li +7

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

PHASER: Phase-Aware and Semantic Experience Replay for Vision-Language-Action Models

Ziyang Chen, Shaoguang Wang, Weiyu Guo +5

Vision-Language-Action (VLA) models have achieved remarkable success in language-conditioned robotic manipulation. However, deploying these models in open-ended environments requir…

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.RO2026

NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control

Weiyu Guo, He Zhang, Pengteng Li +7

Vision-language-action (VLA) models inherit powerful semantic representations from large language models, but carrying over their design priorities can leave the demands of physica…