xarm_lift_medium_image
收藏魔搭社区2025-11-02 更新2025-02-08 收录
下载链接：
https://modelscope.cn/datasets/lerobot/xarm_lift_medium_image
下载链接
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资源简介：
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** https://www.nicklashansen.com/td-mpc/
- **Paper:** https://arxiv.org/abs/2203.04955
- **License:** mit
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"robot_type": "unknown",
"total_episodes": 800,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:800"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {
"observation.image": {
"dtype": "image",
"shape": [
84,
84,
3
],
"names": [
"height",
"width",
"channel"
]
},
"observation.state": {
"dtype": "float32",
"shape": [
4
],
"names": {
"motors": [
"motor_0",
"motor_1",
"motor_2",
"motor_3"
]
}
},
"action": {
"dtype": "float32",
"shape": [
3
],
"names": {
"motors": [
"motor_0",
"motor_1",
"motor_2"
]
}
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"next.reward": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"next.done": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
}
}
```
## Citation
**BibTeX:**
```bibtex
@inproceedings{Hansen2022tdmpc,
title={Temporal Difference Learning for Model Predictive Control},
author={Nicklas Hansen and Xiaolong Wang and Hao Su},
booktitle={ICML},
year={2022}
}
```
本数据集基于[LeRobot](https://github.com/huggingface/lerobot)构建。
## 数据集说明
- **主页**：https://www.nicklashansen.com/td-mpc/
- **论文**：https://arxiv.org/abs/2203.04955
- **许可证**：MIT
## 数据集结构
[meta/info.json](meta/info.json):
json
{
"codebase_version": "v2.0",
"robot_type": "unknown",
"total_episodes": 800,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:800"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {
"observation.image": {
"dtype": "image",
"shape": [84, 84, 3],
"names": ["height", "width", "channel"]
},
"observation.state": {
"dtype": "float32",
"shape": [4],
"names": {"motors": ["motor_0", "motor_1", "motor_2", "motor_3"]}
},
"action": {
"dtype": "float32",
"shape": [3],
"names": {"motors": ["motor_0", "motor_1", "motor_2"]}
},
"episode_index": {"dtype": "int64", "shape": [1], "names": null},
"frame_index": {"dtype": "int64", "shape": [1], "names": null},
"timestamp": {"dtype": "float32", "shape": [1], "names": null},
"next.reward": {"dtype": "float32", "shape": [1], "names": null},
"next.done": {"dtype": "bool", "shape": [1], "names": null},
"index": {"dtype": "int64", "shape": [1], "names": null},
"task_index": {"dtype": "int64", "shape": [1], "names": null}
}
}
## 引用
**BibTeX格式：**
bibtex
@inproceedings{Hansen2022tdmpc,
title={Temporal Difference Learning for Model Predictive Control},
author={Nicklas Hansen and Xiaolong Wang and Hao Su},
booktitle={ICML},
year={2022}
}
提供机构：
maas
创建时间：
2025-02-06
