FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Actio
Vision-Language-Action (VLA) models have achieved impressive results in visuomotor policy learning, yet remain fundamentally reactive, mapping current observations and language to actions without explicit forward prediction of world dynamic
https://arxiv.org/abs/2607.14739v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Outside
Outside your target regions — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
W
Wei Li
2.0
low confidence
P
Peijin Jia
3.0
low confidence
Y
Yuan Ma
2.0
low confidence
X
Xuefeng Jiang
1.0
low confidence
T
Titong Jiang
CN
2.0
low confidence
S
Sheng Sun
1.0
low confidence
Y
Yujian Li
1.0
low confidence
X
Xin Wen
2.0
low confidence
H
Han Hong
2.0
low confidence
Z
Zhikang Liu
2.0
low confidence
B
Bailin Li
2.0
low confidence
K
Kun Zhan
2.0
low confidence
S
S Y Sun
1.0
low confidence
Y
Y.Y. Li
1.0
low confidence
Activity & evidence
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