# zengxiong111/Foundation_of_Embodied_AI

> Teaching materials for a future Foundation of Embodied AI course: 17 topics with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T and SONIC.

- Magnitude: 2.9 out of 10 — Early signal
- Stars: 117 total · +5 stars measured 2026-10-22, 07:41–10:01 UTC, ≈ 20 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · License: CC-BY-4.0 · Created: 2026-10-16 · Last push: 2026-10-22
- GitHub: https://github.com/zengxiong111/Foundation_of_Embodied_AI · Page: https://gitnova.dev/en/r/zengxiong111/Foundation_of_Embodied_AI

## Useful for

- Follow the course on robot dynamics, Isaac Sim and MuJoCo to learn embodied AI
- Study PPO, SAC and Flow Matching from ready tutorials in Chinese and English
- Prepare a lesson on ROS 2 and camera calibration using the ready Markdown and PDF

## Why it’s here

- Star-counter measurements on 2026-10-22 (UTC), 07:41–10:01: 112 → 117 stars (+5). This is the change over that interval.
- Estimated end-of-day forecast: about +20 stars, using observed gains and the previous day.
- The repository is 6 days old and already has 117 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #200.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 7
- Issues and pull requests: 5
- Watchers: 0
- Average over the last week: 19 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 3

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-10-16 … 2026-10-22: 6, 10, 31, 14, 13, 37, 5

## Spotted in now

- Top new repositories this week: #200

## More in this category

1. **xiaoyang111222/cn-math-taxonomy** — 6.1 · Peaking · Learning & lists · Python · +164 stars measured 2026-10-22, 00:37–09:57 UTC, ≈ 374 by evening
   Knowledge graph for Chinese middle-school math (grades 7–9): 315 topic nodes with 616 prerequisite edges, mapping to the 2022 curriculum standards, plus a 1407-question diagnostic bank. An AI-generated draft not yet reviewed by teachers.
   Full card: https://gitnova.dev/en/r/xiaoyang111222/cn-math-taxonomy.md
2. **luongnv89/claude-howto** — 6.1 · Breakout · Learning & lists · Python · +58 stars measured 2026-10-22, 00:37–09:57 UTC, ≈ 160 by evening
   A visual, example-driven guide to Claude Code with copy-paste templates: from basic commands to agents, hooks, skills, and MCP servers. Provides a structured learning path from beginner to power user.
   Full card: https://gitnova.dev/en/r/luongnv89/claude-howto.md
3. **withmarbleapp/os-taxonomy** — 5.4 · Breakout · Learning & lists · JavaScript · +91 stars measured 2026-10-22, 00:37–09:57 UTC, ≈ 249 by evening
   An open taxonomy of primary-school learning micro-topics: 1,590 concepts wired into a prerequisite graph and aligned to national curriculum standards (NGSS, Common Core, UK NC). Pure JSON data, no runtime.
   Full card: https://gitnova.dev/en/r/withmarbleapp/os-taxonomy.md
4. **awesome-dsh-plugin/awesome-dsh-plugin** — 4.5 · Peaking · Learning & lists · JavaScript · +114 stars measured 2026-10-22, 00:38–09:58 UTC, ≈ 247 by evening
   A curated list of plugins for DeepSeek Harness (dsh) — a collection of extensions for this environment. Useful for those looking for ready-made dsh plugins.
   Full card: https://gitnova.dev/en/r/awesome-dsh-plugin/awesome-dsh-plugin.md
5. **duliangkuan/deepinfer-studio** — 4.4 · Early signal · Learning & lists · Python · +0 stars measured 2026-10-22, 00:37–09:58 UTC, ≈ 36 by evening
   A browser-based educational workbench for learning LLM inference concepts. It simulates VRAM budgets, batch sizes, prefill/decode stages and OOM troubleshooting without a GPU.
   Full card: https://gitnova.dev/en/r/duliangkuan/deepinfer-studio.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-22 10:10 UTC, updated every 30 minutes.