Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Executio
Robust robotic grasping remains a fundamental challenge for complex real-world applications. Recent advances in large-scale models demonstrate promising capabilities for reasoning in robotic tasks. However, existing benchmarks for grasping
https://arxiv.org/abs/2607.14341v1 ↗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
H
Hanyi Zhang
2.0
low confidence
K
Khang Nguyen
2.0
low confidence
C
Charith Munasinghe
CH
2.0
low confidence
B
Basu Hela
2.0
low confidence
T
Tianyu Li
2.0
low confidence
Z
Zihong Luo
2.0
low confidence
H
Hoan Nguyen
1.0
low confidence
H
Hans Wernher van de Venn
2.0
low confidence
Y
Yalin Zheng
GB
2.0
low confidence
R
Ravi Prakash
1.0
low confidence
T
Tung D. Ta
2.0
low confidence
A
Anh Nguyen
2.0
low confidence
H
H S. Nguyen
2.2
low confidence
R
R Sri Prakash
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Efference
· Active
founders not scraped yet