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  3. 用格物平台实现机器人1v1踢足球大赛
OpenAtomGeneral MLIntermediateRegistration unverified

用格物平台实现机器人1v1踢足球大赛

A intermediate general ml competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

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。

Read the original official blurb
OpenLoong开源社区基于格物平台,正式发起机器人1v1租住足球大赛。本赛事旨在为开发者提供一个实践与验证机器人关键技术的平台,并推动相关领域的开源协作与技术进步。 机器人足球对抗涉及复杂的技术挑战,核心在于机器人的自主能力构建。参赛机器人需在动态对抗环境中独立完成全流程操作: 环境感知:实时识别足球、场地边界、对方机器人及球门位置。 实时决策:根据场上瞬息万变的状态,快速制定进攻、防守或拦截策略。 精准运动控制:稳定、快速且准确地执行移动、转向、控球及射门动作。 格物平台为开发者提供了必要的仿真环境调试支持,降低了参赛的技术门槛。 Official category: 实战竞技赛. Organizers: OpenLoong开源社区,人形机器人(上海)有限公司. Competition code: 2025OAC046. Participants: 3.

Preparation

From registration to a first submission

  1. 01

    格物仿真平台

  2. 02

    机器人视觉识别

  3. 03

    机器人定位

  4. 04

    路径规划

  5. 05

    运动控制

  6. 06

    Git 与 Pull Request

Before you commit: 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。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Sep 10, 2025

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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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.