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References (59)

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HMVLA: Hyperbolic Multimodal Fusion for Vision-Language-Action Models
2026Kun Wang, Xiaokun Feng et al.
[2]
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2025Sandeep Routray, Hengkai Pan et al.
[3]
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2025Zhide Zhong, Haodong Yan et al.
[4]
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2025Shibo Sun, Xue Li et al.
[6]
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2025Wenyao Zhang, Hongsi Liu et al.
[7]
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2025Jun Cen, Chaohui Yu et al.
[8]
Unified Vision-Language-Action Model
2025Yu-Quan Wang, Xinghang Li et al.
[9]
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
2025Chongkai Gao, Zixuan Liu et al.
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2025Mahmoud Assran, Adrien Bardes et al.
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2025Qingwen Bu, Yanting Yang et al.
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2025Physical Intelligence, Kevin Black et al.
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2025Qingqing Zhao, Yao Lu et al.
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2025Ang Wang, Baole Ai et al.
[15]
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2025Zhi Hou, Tianyi Zhang et al.
[16]
AdaWorld: Learning Adaptable World Models with Latent Actions
2025Shenyuan Gao, Siyuan Zhou et al.
[17]
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2025Nvidia, Johan Bjorck et al.
[18]
Unified Video Action Model
2025Shuang Li, Yihuai Gao et al.
[19]
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Showing 20 of 59 references

Founder's Pitch

"CoWVLA unifies world-model temporal reasoning with latent motion representation for efficient visuomotor learning in robotics."

Vision-Language-Action ModelsScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

0/4 signals

0

Series A Potential

1/4 signals

2.5

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