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π*0.6: a VLA That Learns From Experience
2025Physical Intelligence, Ali Amin et al.
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2025Chia-Yu Hung, Navonil Majumder et al.
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2025Baicheng Li, Dong Wu et al.
[4]
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2025Hengtao Li, Pengxiang Ding et al.
[5]
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2025Junjin Xiao, Yandan Yang et al.
[6]
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2025Shaopeng Zhai, Qi Zhang et al.
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Self-Improving Embodied Foundation Models
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2025Jun Cen, Chaohui Yu et al.
[11]
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[12]
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2025Junyang Shu, Zhiwei Lin et al.
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2025Guanxing Lu, Wenkai Guo et al.
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2025Qingqing Zhao, Yao Lu et al.
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Founder's Pitch

"SC-VLA enhances vision-language-action models with self-improvement through sparse imagination for better robotic task execution."

RoboticsScore: 6View PDF ↗

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0-10 scale

High Potential

2/4 signals

5

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3/4 signals

7.5

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1/4 signals

2.5

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