跳到正文

正在自动登录…

← 返回项目列表

apple-aiml-research/ml-halo

机器人运动控制

HALO 是一个用于生成、训练和部署人形机器人运动控制策略的研究项目,包含数据生成、模型训练和部署代码,面向机器人研究者和开发者。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/11/6 01:06:48 · 查看原文

普通Python研究项目
累计 Stars
57
当前热度
1 天内 · 小火
仓库创建时间
打开 GitHub ↗项目网站 ↗

选用指南

AI 根据 README 整理 · 2026/11/6 01:06:48

使用方式

通过命令行运行数据生成、训练和部署脚本,支持模拟和真实机器人。

查看 README 依据
| [`system/`](system/) | Closed-loop system: `run_sim.py` / `run_real.py` launchers, generator / tracker / orchestrator nodes, live web viewer; `system/comm` (`halo_comm` messaging) and `system/serve` (`halo_serve`, on-device model scheduling) | [README](system/README.md) | | [`assets/`](assets/) | Unitree G1 robot description (MJCF / URDF / USD), scene objects and scenes | [robots](assets/robots/README.md), [objects](assets/objects/README.md) | ## Data generation To generate the training data, rendered episodes for the generator and motion clips for the tracker, see
- **Tracker on its own (MuJoCo sim-to-sim, real robot):** [`tracker/deploy/README.md`](tracker/deploy/README.md) (Python) and [`tracker/deploy_cpp/README.md`](tracker/deploy_cpp/README.md) (real-time C++) - **Closed-loop in sim (MuJoCo):** [`system/README.md`](system/README.md#run-sim) (`run_sim.py`) - **Closed-loop on the real robot (G1):** [`system/README.md`](system/README.md#run-real) (`run_real.py`) ## Citation If you find this work useful, please cite: ```bibtex @article{halo2026, title = {Perceptive Humanoid Motion from Simulation},
部署要求

需要 Isaac Lab 和 MuJoCo 等仿真环境,以及 Unitree G1 机器人描述文件。

查看 README 依据
![HALO teaser: a Unitree G1 crawling under tables, sitting on a sofa, walking through rooms and pushing boxes in real homes](docs/assets/teaser.webp) ## Repository layout | Folder | What it is | Docs | |---|---|---| | [`datagen/`](datagen/) | Synthetic data pipeline: Infinigen scenes, Kimodo motion, Isaac / MuJoCo rendering; training data for the generator (rendered episodes) and the tracker (motion clips) | [README](datagen/README.md) | | [`generator/`](generator/) | Motion generator: training and open-loop evaluation | [README](generator/README.md) |
| [`tracker/`](tracker/) | G1 motion-tracking policy: Isaac Lab training, Python and C++ (real-time) deployment | [README](tracker/README.md) | | [`orchestrator/`](orchestrator/) | `halo_orchestrator`: the orchestrator (language request + egocentric image → plan of subtasks) on a local model co-served with the generator | [README](orchestrator/README.md) |
| [`system/`](system/) | Closed-loop system: `run_sim.py` / `run_real.py` launchers, generator / tracker / orchestrator nodes, live web viewer; `system/comm` (`halo_comm` messaging) and `system/serve` (`halo_serve`, on-device model scheduling) | [README](system/README.md) | | [`assets/`](assets/) | Unitree G1 robot description (MJCF / URDF / USD), scene objects and scenes | [robots](assets/robots/README.md), [objects](assets/objects/README.md) | ## Data generation To generate the training data, rendered episodes for the generator and motion clips for the tracker, see

README

正在加载 README…

收录信息

仓库创建时间
2026/11/5 09:47:00
首次达标收录
2026/11/6 01:01:31
统计更新时间
2026/11/6 02:11:11

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

普通加权总分 3.8 / 5

新颖度
4.1
实用价值
3.5
成熟度
3.8
实质含量
3.7

由 Jev 模型根据仓库描述与 README 评估,2026/11/6 01:01:31 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/11/5 12:58:42
许可证标识
NOASSERTION
Fork 数
5
当前状态
未归档

收录记录

按创建时长与累计 Stars 首次收录:小火
首次发现项目