<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>研究笔记</title><description>从模型结构到真实机器人闭环：围绕问题、证据与实验展开的具身智能研究笔记。</description><link>https://embodied-intelligence-notes.pages.dev/</link><language>zh-CN</language><generator>as-folio (Astro)</generator><item><title>RT-2 如何将连续动作转化为语言 Token</title><link>https://embodied-intelligence-notes.pages.dev/blog/rt2-action-token/</link><guid isPermaLink="true">https://embodied-intelligence-notes.pages.dev/blog/rt2-action-token/</guid><description>从动作离散化、词表映射到机器人闭环执行，逐层追踪 RT-2 的数据流与张量形状。</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate><category>RT-2</category><category>VLA</category><category>Action Tokenization</category><category>Tensor Shape</category><category>VLA</category><category>论文精读</category><author>具身智能研究者</author></item><item><title>OpenVLA 完整数据流与 Action Decoding</title><link>https://embodied-intelligence-notes.pages.dev/blog/openvla-data-flow/</link><guid isPermaLink="true">https://embodied-intelligence-notes.pages.dev/blog/openvla-data-flow/</guid><description>沿着图像、文本、视觉投影与动作解码，梳理 OpenVLA 推理链路中的张量形状。</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate><category>OpenVLA</category><category>VLA</category><category>Action Decoding</category><category>Tensor Shape</category><category>VLA</category><category>论文精读</category><author>具身智能研究者</author></item><item><title>Diffusion Policy：从噪声到机器人动作序列</title><link>https://embodied-intelligence-notes.pages.dev/blog/diffusion-policy/</link><guid isPermaLink="true">https://embodied-intelligence-notes.pages.dev/blog/diffusion-policy/</guid><description>理解条件扩散如何生成多模态动作序列，以及训练、采样与 receding horizon 执行的差异。</description><pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate><category>Diffusion Policy</category><category>Imitation Learning</category><category>Action Sequence</category><category>模仿学习</category><category>论文精读</category><author>具身智能研究者</author></item></channel></rss>