Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation

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One Step Is Enough: Dispersive MeanFlow Policy Optimization
2026Guowei Zou, Haitao Wang et al.
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One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
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2025Xuanran Zhai, Ce Hao
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2024Bofang Jia, Pengxiang Ding et al.
[11]
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2024Qinglun Zhang, Zhen Liu et al.
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2024Lirui Wang, Xinlei Chen et al.
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Founder's Pitch

"Ada3Drift enhances robotic manipulation by enabling high-fidelity single-step action generation through adaptive training-time drifting."

Robotic ManipulationScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

1/4 signals

2.5

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