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ZhangYangyi03/README.md

Yangyi Zhang · 张洋溢

Robotics data infrastructure & self-evolving agent systems. 数据侧工程 + agent 基础设施。分布在芬兰(LUT),当前主线是把机器人数据接进统一动作空间。


现在在做的三个

项目 一句话 状态
unifolm-wla-toolkit 按宇树 UnifoLM-WLA-1.0 官方规范实现的数据管线:54 维动作 / 60 维状态统一表示、SE(3) 相对位姿、零依赖 URDF 正运动学。不需要 GPU、真机、权重。 自检 15/15,真实 G1 300 帧端到端通过
autoforge 会自己造工具、并且让工具"证明自己值得留"的 agent 框架:创造 → 五关验证 → 生命周期;运行后用 ledger 观察、判定、隔离/康复/退役。 已发布到 PyPI,合入线在跑
tool-market 面向可演化工具的协议化资源底座:每个工具是有状态、有版本、有血缘的资源;候选工具在打分之前先过不变量闸门。 服务在线,协议实现有据可查

研究向

  • swpl — Skew-Phase Law:Zipf 负载下的数据结构选型,附 3 张实测图与论文草稿
  • agent-safety-bench — 多步 agent 安全合规基准,测的是"关键深度"而不是单轮拒答

怎么找我

有关于机器人数据格式、WLA 接入、或者自演化 agent 工具治理的问题,开 issue 就行——三个主仓库的 issue 我都会看。 unifolm-wla-toolkit 里那份 给宇树的说明 是我和上游对话的方式,欢迎照这个格式来。

Python · PyTorch · robotics data pipelines · agent tooling

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