klvarshaa/so101_arrange_table_50ep_v2

这是一个使用LeRobot创建的机器人任务数据集，专门用于机器人学习与控制研究。数据集包含50个训练episodes，总计79,486帧数据，任务类型为so_follower。数据特征包括：机器人动作（6个关节位置：肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转、夹爪位置）、状态观测（与动作相同的6个关节位置）、以及三个视角的视觉观测（顶部、侧面和腕部摄像头拍摄的480x640分辨率RGB视频，帧率30fps）。此外，数据集还包含时间戳、帧索引、episode索引、任务索引等元数据。数据以parquet格式存储，视频使用AV1编码。

This dataset was created using LeRobot for robotics learning and control research. It contains 50 training episodes with a total of 79,486 frames, focusing on the so_follower task type. The dataset features include: robot actions (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, gripper position), state observations (same 6 joint positions as actions), and visual observations from three camera perspectives (top, side, and wrist cameras capturing 480x640 resolution RGB videos at 30fps). Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, and task indices. Data is stored in parquet format, with videos encoded using AV1 codec.