green_marker_22_20260724_164625

该数据集是一个机器人控制数据集，由LeRobot工具创建，专注于收集机器人动作和观察数据。它包含7个总片段和1729个总帧，以30帧/秒的帧率采集。数据特征包括动作和观察，两者都涉及6个关节位置：肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置。观察数据还包括来自头顶和手腕摄像头的视频流，视频分辨率为480x640像素，3通道（RGB），使用AV1编解码器。此外，数据集包含元数据，如时间戳、帧索引、片段索引和任务索引。机器人类型为so_follower，数据以Parquet格式存储，视频以MP4格式存储，总数据大小约为100MB，视频文件大小约为200MB。该数据集适用于机器人学习任务，例如动作预测和视觉控制。This dataset is a robot control dataset created using the LeRobot tool, focusing on the collection of robot action and observation data. It contains a total of 7 episodes and 1729 frames, captured at a frame rate of 30 frames per second. The data features include actions and observations, both involving 6 joint positions: shoulder translation, shoulder lift, elbow bend, wrist bend, wrist roll, and gripper position. Observation data also includes video streams from overhead and wrist cameras, with a resolution of 480x640 pixels, 3 channels (RGB), and using the AV1 codec. Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, and task indices. The robot type is so_follower, with data stored in Parquet format and videos in MP4 format, with a total data size of approximately 100MB and video file size of about 200MB. This dataset is suitable for robot learning tasks, such as action prediction and visual control.