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  3. 基于开源鸿蒙的DORA具身智能挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

基于开源鸿蒙的DORA具身智能挑战赛

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
本比赛采用DORA机器人操作系统开发平台,开展多机器人协同、目标检测、定位导航、决策规划、运动控制等关键技术研究和实践。通过参与本比赛,可以掌握智能机器人开发领域的主流算法与开发平台,强化工程实现能力、解决工程问题的能力,并锻炼提高创新能力。赛题项目主要考核参赛选手对智能机器人开发平台的算法设计、架构设计、软件开发方面的研究掌握以及工程应用能力,通过对控制机器人开发平台完成比赛场景的方式来评价各参赛选手的任务完成度和成果质量。 Official category: 实战竞技赛. Organizers: 深圳开鸿数字产业发展有限公司. Competition code: 2025OAC049. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

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 18, 2025

Entry assessment

est.
24

Prepare before joining

Overall fit estimate

Beginner fit24/100
Learning value72/100

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.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Sep 18, 2025
Source created
Sep 18, 2025
Published on this site
Aug 1, 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.