Robot embodied-AI cloud for GPU training, inference, benchmarks, and robot data collection.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Zhijiangyun Cloud (智匠云), and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Documentation Overview
ArtiBot Cloud Public Resources
English
What this repository is
This repository is the public technical-resources index for ArtiBot Cloud, an embodied-AI platform. It is being developed as a home for reusable documentation, data-format references, synthetic examples, and independently releasable open-source components.
The first public materials focus on a practical question that appears across robot-learning workflows: how to describe one complete observation–action–outcome episode in a portable, inspectable format.
Start here
| Resource | Purpose |
|---|---|
| Embodied Episode Data Schema v0.1 | A format guide for task metadata, observations, robot state, actions, environment metadata, and outcomes. |
| Minimal Synthetic Episode | A small, fully synthetic example and a local validator. |
| Repository documentation: Robot Training Data Notes | Repository-side notes on normalization, evaluation, and failure replay. The official platform page is explicitly marked inside the note. |
| Scan2Sim Capture Guide | Practical capture-quality, privacy, and authorization guidance for scene-reconstruction inputs. |
| Public Boundary | What is and is not published in this repository. |
What is not published here
This repository does not publish production platform source code, deployment infrastructure, customer data, private robot-control interfaces, credentials, or non-public model weights. A document or example in this repository is not a promise that the corresponding hosted platform capability is publicly available.
Reuse and licensing status
No repository-wide license is granted at this stage. Before reusing any material, check whether the individual file provides an explicit license or permission notice. The licensing of future code, documentation, images, videos, datasets, and model assets will be stated separately and only after their provenance and reuse rights have been verified.
Official platform
For the hosted platform, visit www.artibot.cloud.
中文
这个仓库是什么
本仓库是 ArtiBot Cloud（智匠云） 的公共技术资料索引，后续将逐步发布可复用的文档、数据格式参考、合成样例以及边界明确的独立开源组件。
当前首批公开材料聚焦于具身智能训练中的一个基础问题：如何用可移植、可检查的格式描述一条完整的“观测—动作—结果”交互 episode。
建议从这里开始
| 资料 | 用途 |
|---|---|
| 具身 Episode 数据规范 v0.1 | 说明任务元数据、观测、机器人状态、动作、环境信息和结果的字段组织方式。 |
| 最小合成 Episode 样例 | 一条完全合成的样例数据及本地校验脚本。 |
| 仓库内资料：机器人训练数据说明 | 归一化、评估与失败回放的仓库资料；其中已单独明确标注唯一的官网技术页外链。 |
| Scan2Sim 采集指南 | 面向场景重建输入的视频采集质量、隐私和授权边界说明。 |
| 公开边界 | 说明本仓库发布与不发布的内容范围。 |
本仓库不公开什么
本仓库不公开生产平台源代码、部署基础设施、客户数据、私有机器人控制接口、凭据或未公开模型权重。本仓库的文档和样例不代表对应的托管平台能力已经对外开放。
使用与授权状态
本阶段不授予仓库范围内的统一许可证。在复用任何资料前，请检查具体文件是否包含明确的许可证或授权说明。未来的代码、图像、视频、数据集和模型资产会在确认来源与再利用权利后分别标注授权范围。
官方平台
如需了解托管平台，请访问 www.artibot.cloud。
Repository status
The public documentation and examples in this repository are evolving. Please open an issue only for material that is already public in this repository; do not include credentials, private data, or production-system details in an issue.
本仓库的公共文档与样例会逐步完善。Issue 仅用于讨论本仓库已经公开的内容；请勿在 Issue 中提交凭据、私有数据或生产系统细节。
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