项目一：MuJoCo 环境下自动化数据采集系统的构建
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
No files or tests are named. Start by locating the existing real and sim interfaces and the current data format, then compare their collection flows; done means a MuJoCo ball-and-ground scene supports tracking and avoidance modes, manual and randomized collection, and produces matching training data.
Written by the indexing model from the issue text.
Description
项目一：MuJoCo 环境下自动化数据采集系统的构建
📖 用户故事
作为 机器人学习研究人员，
我希望 在 MuJoCo 页面中快速搭建可定制化的简易场景，并自动化地完成数据采集，
以便 无需手动操作即可批量生成高质量的训练数据，用于后续 ACT 模型的训练与迭代。
✅ 验收标准
1. 内置场景：移动小球
只包含两个元素：一个球、一个地面。
- 地面：灰色平面
- 球：红色小球，有物理属性，按预设轨迹或随机移动
实现采集和训练两种任务模式：
| 模式 | 目标 | 成功条件 |
|---|---|---|
| 跟踪球 | 保持观察视角始终对准球 | 球始终在视野范围内 |
| 避开球 | 远离球 | 到球面前会向左右避开 |
2. 自动化数据采集流水线
- 实现一个和sim界面一致的界面，支持手动进行数据采集
- 数据格式和之前的real界面和sim界面保持一致
- 可以通过代码或 ui 随机生成小球位置让小车进行跟随或避开，采集多样的数据
- Dominant language
- Python
- Stars
- 7
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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