Beginner score
48/100
Competition workspace
适合具备机器人仿真开发经验，并能在格物平台上为 Nanoloong（Tinker）机器人实现自主踢球的人。尤其适合熟悉视觉识别、定位、路径规划、博弈策略和运动控制的个人或小团队；参赛面向全球全年龄段开发者，团队最多3人。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
适合具备机器人仿真开发经验，并能在格物平台上为 Nanoloong（Tinker）机器人实现自主踢球的人。尤其适合熟悉视觉识别、定位、路径规划、博弈策略和运动控制的个人或小团队；参赛面向全球全年龄段开发者，团队最多3人。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
格物仿真平台
机器人视觉识别
机器人定位
路径规划
运动控制
Git 与 Pull Request
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点是把感知、决策和运动控制整合成能在动态1v1对抗中稳定运行的自主机器人，而不只是让机器人完成单次踢球。初赛还要求实现摔倒后自主起身，并以进球效率和动作协调性评分；作品必须通过仓库 PR 提交完整报告、代码、模型和演示视频，并按要求开源。
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.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.