learn_embodied_papers — reading notes in the open

An open reading notebook on embodied-AI papers — VLAs, manipulation policies, diffusion and flow-matching methods. Notes are written in the open on purpose; publishing forces a level of clarity that private skimming doesn’t.

Topics so far: RT-2 / OpenVLA / π₀, diffusion policy, flow-matching policies, Isaac Lab tutorials, LeRobot dataset format.

github.com/LUOSYrrrr/learn_embodied_papers

公开维护的具身智能论文阅读笔记——VLA、操作策略、diffusion policy、flow matching policy 等。公开写是故意的:发出来强迫自己把模糊的理解变成清晰表达。

已涉及:RT-2 / OpenVLA / π₀、diffusion policy、flow-matching policy、Isaac Lab 教程、LeRobot 数据集格式。

github.com/LUOSYrrrr/learn_embodied_papers