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 dataset is a robot learning dataset created using the LeRobot tool. It contains one episode with a total of 1795 frames, involving one task. The data features include action and observation: action data is a 6-dimensional floating-point array representing robot joint positions (e.g., shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position); observation data includes state (the same joint positions as the action) and images (videos from front-view and top-view cameras, with a resolution of 480x640, 3 channels, a frame rate of 30fps, using the AV1 codec). Additionally, the dataset contains metadata such as timestamps, frame indices, episode indices, and task indices. The data is stored in parquet file format, with video files in mp4 format, and the robot type is so_follower. The total dataset size is 300MB (100MB for data files and 200MB for video files), and it is suitable for research in robot control, visual navigation, and related fields.