Beginner score
30/100
Competition workspace
适合已有无人机控制与系统仿真基础的团队，尤其是能使用Modelica和MWORKS.Sysplorer完成模型集成、仿真验证的人。若希望进入实机决赛，还应具备配置机载任务计算机和无人机数据链路的能力。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有无人机控制与系统仿真基础的团队，尤其是能使用Modelica和MWORKS.Sysplorer完成模型集成、仿真验证的人。若希望进入实机决赛，还应具备配置机载任务计算机和无人机数据链路的能力。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
Modelica建模
MWORKS.Sysplorer仿真
无人机飞行控制算法
视觉/UWB/惯性导航
嵌入式机载计算
AtomGit代码提交
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是让无人机在仿真中飞完轨迹，而是要在传感器误差和不确定性下，稳定完成起降、定高和多圈自主循迹，并兼顾飞行时间与轨迹偏差。进入决赛后还要把方案落到指定实机环境中，完成软硬件联调。
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.
ModelScope
General MLModelScope
General MLKaggle
General MLKaggle
General MLSeparate 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.