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  3. 在仿真环境下控制青龙机器人,实现仿真环境下的基础运动控制

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OpenAtomGeneral MLAdvancedRegistration unverifiedRegistration unverified

在仿真环境下控制青龙机器人,实现仿真环境下的基础运动控制

适合已有 MuJoCo 使用经验、希望做双足/人形机器人基础运动控制的具身智能开发者。参赛者还应能独立使用 Git 在 AtomGit 仓库中 fork、整理代码并通过 Pull Request 提交作品;赛事形式为单人参赛。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

30/100

Higher means a safer real starting point for your current stage.

Learning value

60/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

24-80 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Op…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合已有 MuJoCo 使用经验、希望做双足/人形机器人基础运动控制的具身智能开发者。参赛者还应能独立使用 Git 在 AtomGit 仓库中 fork、整理代码并通过 Pull Request 提交作品;赛事形式为单人参赛。

Official blurb (unedited)
随着人形机器人和具身智能技术的快速发展,运动控制算法的优化与落地成为推动行业应用的关键。本赛项以青龙机器人为核心对象,聚焦其在仿真环境下的基础运动控制,旨在锻炼开发者在动力学建模、控制算法优化和开源协作中的实践能力。通过搭建统一的仿真平台(Mujoco),参赛者不仅能够验证运动控制算法的性能,还能在对比中不断优化方案,从而推动机器人步态控制、稳定性和能效等方向的突破。 设立本赛项,是为产业界积累优质的算法与实践案例,促进学术研究与产业应用的双向驱动,推动开源社区在机器人控制领域的深度发展。 Official category: 训练学习赛. Organizers: OpenLoong开源社区,人形机器人(上海)有限公司. Competition code: 2025OAC045. Participants: 1.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

MuJoCo 仿真

机器人运动控制

双足步态控制

Python 或 C++ 编程

Git 与 AtomGit Pull Request

技术报告与演示视频制作

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

难点不只是让机器人完成动作,而是在 MuJoCo 中让青龙机器人稳定完成行走、站立和跳跃三项动作;若要争取优秀奖,还需相对原有代码证明运动控制效果有明显优化。提交也有工程与开源要求:作品需通过 AtomGit 的 Pull Request 提交,并配套技术报告和运行演示视频。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

How to learn feature engineering, validation, and competition workflow without heavy hardware.

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Your decision

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Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
¥5万
Compute
CPU only
Official metric
Official scoring is published on the OpenAtom competition page.
Verification
Source page verified

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
Sep 10, 2025
Source created
Sep 10, 2025
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.