eval_bluecube_smolvla1
收藏资源简介:
该数据集是使用LeRobot创建的,专注于机器人技术领域,具体针对一个名为so_follower的机器人类型。数据集包含动作数据(如关节位置)、观测状态(包括机器人关节位置)和多视角图像观测(来自手腕、侧面和头部摄像头,分辨率为480x640像素,3个通道)。数据以Parquet文件格式存储,视频文件以MP4格式存储,帧率为30fps。数据集结构包括时间戳、帧索引、剧集索引和任务索引等元数据,用于支持机器人学习和控制任务。
This dataset is created using LeRobot and focuses on the robotics field, specifically targeting a robot type named so_follower. It includes action data (e.g., joint positions), observation states (including robot joint positions), and multi-view image observations (from wrist, side, and head cameras, with a resolution of 480x640 pixels and 3 channels). Data is stored in Parquet file format, and video files are in MP4 format with a frame rate of 30fps. The dataset structure includes metadata such as timestamps, frame indices, episode indices, and task indices, designed to support robot learning and control tasks.
数据集概述
- 名称: eval_bluecube_smolvla1
- 许可证: Apache-2.0
- 任务类别: 机器人学 (Robotics)
数据集构建
- 该数据集使用 LeRobot 框架创建。
数据集结构
- 代码版本: v3.0
- 机器人类型:
so_follower - 总集数: 0
- 总帧数: 0
- 总任务数: 0
- 块大小: 1000
- 数据文件大小: 100 MB
- 视频文件大小: 200 MB
- 帧率 (FPS): 30
- 数据路径:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - 视频路径:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
特征描述
| 特征名称 | 数据类型 | 形状 | 说明 |
|---|---|---|---|
action |
float32 | [6] | 六维动作向量:肩部旋转、肩部升降、肘部弯曲、腕部弯曲、腕部旋转、夹爪位置 |
observation.state |
float32 | [6] | 六维观察状态向量,与动作命名相同 |
observation.images.wrist |
video | [480, 640, 3] | 腕部摄像头视频,高度480,宽度640,3通道 |
observation.images.side |
video | [480, 640, 3] | 侧方摄像头视频,高度480,宽度640,3通道 |
observation.images.head |
video | [480, 640, 3] | 头部摄像头视频,高度480,宽度640,3通道 |
timestamp |
float32 | [1] | 时间戳 |
frame_index |
int64 | [1] | 帧索引 |
episode_index |
int64 | [1] | 集数索引 |
index |
int64 | [1] | 索引 |
task_index |
int64 | [1] | 任务索引 |
引用信息
- 主页: [More Information Needed]
- 论文: [More Information Needed]
- BibTeX: [More Information Needed]



