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20232026
most citedFrozen Transformers in Language Models Are Effective Visual Encoder Layers

11 citations · 12 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

FLORA: An Open Model Suite for Scaling Robotics Data Engines

Sicong Leng, Yunze Man, Zhiqi Li +14

The life-cycle of robotics foundation models crucially depends on data labels. Outcome reward labels are needed for monitoring real-world deployments. Process reward labels are nee…

cs.RO2026

Vesta: A Generalist Embodied Reasoning Model

Johan Bjorck, Zhiqi Li, Yunze Man +29

Robots operating in open-world environments must seamlessly integrate localization, spatial reasoning, navigation, and long-horizon planning. While specialist models excel at indiv…

cs.CV2026

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

Shihao Wang, Shilong Liu, Yuanguo Kuang +10

Vision-language models (VLMs) commonly formulate visual grounding and detection as a coordinate-token generation problem, serializing each 2D box into multiple 1D tokens that are l…

cs.CV2026

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Chi-Pin Huang, Yunze Man, Zhiding Yu +4

Vision-Language-Action (VLA) tasks require reasoning over complex visual scenes and executing adaptive actions in dynamic environments. While recent studies on reasoning VLAs show…

cs.RO2026

Capturing Visual Environment Structure Correlates with Control Performance

Jiahua Dong, Yunze Man, Pavel Tokmakov +1

The choice of visual representation is key to scaling generalist robot policies. However, direct evaluation via policy rollouts is expensive, even in simulation. Existing proxy met…