SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics

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RoboBrain 2.5: Depth in Sight, Time in Mind
2026Huajie Tan, Enshen Zhou et al.
[2]
RoboTracer: Mastering Spatial Trace with Reasoning in Vision-Language Models for Robotics
2025Enshen Zhou, Cheng Chi et al.
[3]
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2025Yanjie Ze, Siheng Zhao et al.
[4]
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2025Justin Yu, Yide Shentu et al.
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TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
2025Yi Han, Cheng Chi et al.
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2025Qiyuan Zeng, Chengmeng Li et al.
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2025Kefei Zhu, Fengshuo Bai et al.
[8]
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2025Chengbo Yuan, Rui Zhou et al.
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2025N. Keetha, Norman Müller et al.
[10]
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2025Hecheng Wang, Jiankun Ren et al.
[11]
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Showing 20 of 56 references

Founder's Pitch

"SaPaVe is an end-to-end framework that enhances robotic interaction through unified active perception and manipulation."

RoboticsScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

3/4 signals

7.5

Quick Build

2/4 signals

5

Series A Potential

3/4 signals

7.5

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