SortPaper_20260513_162144

该数据集是一个机器人学习数据集，使用LeRobot工具创建。它包含一个episode，总共有1795帧数据，涉及一个任务。数据特征包括动作和观察：动作数据为6维浮点数组，表示机器人关节位置（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）；观察数据包括状态（与动作相同的关节位置）和图像（来自前视和顶视摄像头的视频，分辨率为480x640，3通道，帧率为30fps，使用AV1编解码器）。此外，数据集包含时间戳、帧索引、episode索引、任务索引等元数据。数据以parquet文件格式存储，视频文件为mp4格式，机器人类型为so_follower。数据集总大小为300MB（数据文件100MB，视频文件200MB），适用于机器人控制、视觉导航等研究。

This is a robotic learning dataset developed using the LeRobot toolkit. It contains one episode with a total of 1795 frames, corresponding to a single task. The dataset includes two core types of data: action data and observation data. The action data is a 6-dimensional floating-point array representing robot joint positions, including shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. The observation data consists of two components: the state (the same joint positions as those in the action data) and images (videos captured by front-facing and top-down cameras, with a resolution of 480×640, 3 color channels, a frame rate of 30 fps, and encoded with the AV1 codec). Additionally, the dataset provides metadata such as timestamps, frame indices, episode indices, and task indices. The data is stored in Parquet file format, while the video files are in MP4 format. The robot platform associated with this dataset is so_follower. The total size of the dataset is 300 MB, with 100 MB allocated to data files and 200 MB to video files. This dataset is suitable for research in fields such as robotic control and visual navigation.