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fix: hide submission venue; show portrait videos uncropped
- Remove all CoRL 2026 / venue references (hero eyebrow, footer, BibTeX,
meta tags) until acceptance; neutral @misc citation, no venue shown
- VideoPane adopts each clip's real aspect ratio with object-fit: contain
so the portrait G1 payload-locomotion videos display in full (no crop)
Copy file name to clipboardExpand all lines: index.html
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<title>FADA — Few-Shot Domain Adaptation for Humanoid Control</title>
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<meta
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name="description"
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content="FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control. CoRL 2026. A Planner–Inverse Dynamics Model framework that adapts humanoid robots to new dynamics from ~2 minutes of target-domain rollouts."
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content="FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control. A Planner–Inverse Dynamics Model framework that adapts humanoid robots to new dynamics from ~2 minutes of target-domain rollouts."
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/>
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<!-- Open Graph / Twitter -->
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<metaproperty="og:type" content="website" />
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<metaproperty="og:title" content="FADA — Few-Shot Domain Adaptation for Humanoid Control" />
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<meta
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property="og:description"
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content="A Planner–Inverse Dynamics Model framework for few-shot humanoid adaptation. CoRL 2026."
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content="A Planner–Inverse Dynamics Model framework for few-shot humanoid adaptation."
Copy file name to clipboardExpand all lines: src/data/content.ts
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@@ -3,7 +3,8 @@ import type { HeroStat, MethodStage } from './types'
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exportconstSITE={
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acronym: 'FADA',
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title: 'Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control',
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venue: 'CoRL 2026',
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// Venue intentionally omitted until acceptance. To show it later, add e.g.
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// `venue: 'CoRL 2026'` here and render it in Hero.tsx / Footer.tsx.
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tagline:
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'A Planner–Inverse Dynamics Model framework that adapts humanoid robots to new dynamics from about two minutes of target-domain rollouts — no rewards, no accurate prior model.',
'FADA adapts from ordinary target-domain rollouts collected by executing the source-trained policy. Supervision is just the paired proprioceptive observations and executed actions from the same rollout windows — no reward, labeling, privileged state, or off-policy dataset is required.'
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// TODO: replace with the final arXiv BibTeX entry once the paper is public.
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exportconstBIBTEX=`@inproceedings{xie2026fada,
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title = {FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control},
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author = {Xie, Angchen and Sobanbabu, Nikhil and Shikhare, Ishayu and Wang, Alan and Simchowitz, Max and Shi, Guanya},
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booktitle = {Conference on Robot Learning (CoRL)},
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year = {2026},
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note = {arXiv preprint — link coming soon},
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// Venue intentionally omitted until acceptance. Swap to the final @inproceedings
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// entry (with booktitle/year) once the paper is public.
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exportconstBIBTEX=`@misc{fada,
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title = {FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control},
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author = {Xie, Angchen and Sobanbabu, Nikhil and Shikhare, Ishayu and Wang, Alan and Simchowitz, Max and Shi, Guanya},
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