red_marker_14_20260724_160114

这是一个使用LeRobot创建的机器人学数据集，主要用于机器人控制或模拟任务。数据集包含2个总episodes和450个总frames，涉及1个总tasks。数据以parquet格式存储，特征包括动作（6维浮点数组，对应机器人关节位置）、观测状态（同样为6维浮点数组，表示关节位置）、观测图像（包括头顶和手腕摄像头的视频数据，分辨率为480x640，3通道，帧率30fps，使用av1编解码器）、时间戳、帧索引、episode索引、索引和任务索引。机器人类型为so_follower，数据总大小约为300MB（其中数据文件100MB，视频文件200MB）。数据集适用于训练和评估机器人学习模型，特别是基于视觉和状态反馈的控制任务。This is a robotics dataset created using LeRobot, primarily intended for robotic control or simulation tasks. The dataset contains a total of 2 episodes and 450 frames, involving 1 total task. The data is stored in Parquet format, with features including: actions (6-dimensional floating-point arrays corresponding to robot joint positions), observation states (also 6-dimensional floating-point arrays representing joint positions), observation images (video data captured by overhead and wrist cameras, with a resolution of 480x640, 3 channels, 30 frames per second, using the AV1 codec), timestamps, frame indices, episode indices, indices, and task indices. The robot type is so_follower, and the total size of the dataset is approximately 300 MB, consisting of 100 MB of data files and 200 MB of video files. This dataset is suitable for training and evaluating robotic learning models, particularly control tasks based on visual and state feedback.