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public/figures/architecture.png

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public/media/psi-0/psi_0_1080p.mp4

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src/features/project-page/components/HeroSection.astro

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@@ -35,6 +35,7 @@ const { hero } = Astro.props;
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src={hero.teaserVideoSrc}
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aria-label={hero.teaserVideoAlt}
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autoplay
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controls
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muted
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loop
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playsinline

src/features/project-page/content/projectContent.js

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@@ -358,7 +358,7 @@ export const projectPageContent = {
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kicker: "MODEL ARCHITECTURE",
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title: "Three-System Foundation Model for Whole-Body Control",
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body: "Ψ₀ is a foundation model that adopts a triple-system architecture, following prior work. The high-level policy consists of two end-to-end-trained components: a vision-language backbone (system-2) and a multi-modal diffusion transformer (MM-DiT) action expert (system-1). We use the state-of-the-art vision-language foundation model Qwen3-VL-2B-Instruct as system-2. The action expert is implemented as a flow-based MM-DiT inspired by Stable Diffusion 3, containing approximately 500M parameters. Conditioned on hidden features from the VLM backbone, the action expert predicts future whole-body action chunks. The 8-DoF lower-body actions are passed to system-0, a RL-based tracking policy. We adopt the off-the-shelf controller AMO, which maps these inputs to lower-body joint angles for whole-body control.",
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src: withBase("/figures/architecture.svg"),
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src: withBase("/figures/architecture.png"),
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alt: "Ψ₀ architecture diagram",
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caption: "",
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},

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