so101_grab_release_07_01

该数据集是使用LeRobot创建的机器人数据集，专为机器人任务设计，具体针对“so_follower”机器人类型。数据集包含40个总集数和12964个总帧数，以25fps的帧率记录。数据特征包括动作（如肩部、肘部、腕部和夹爪的位置）、观察状态（关节位置）、来自手机和手腕的观察图像（视频数据，分辨率和格式不同）、时间戳、帧索引、剧集索引等。数据以parquet文件格式存储，视频以mp4格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集适用于机器人学习和控制任务，例如模仿学习或强化学习。

This dataset is a robot dataset created using LeRobot, specifically designed for robot tasks, particularly for the so_follower robot type. It contains a total of 40 episodes and 12964 frames, recorded at 25fps. Data features include actions (e.g., positions of shoulders, elbows, wrists, and grippers), observation states (joint positions), observation images from phone and wrist (video data with varying resolutions and formats), timestamps, frame indices, episode indices, etc. The data is stored in parquet file format, and videos are stored in mp4 format, with a total data file size of 100MB and video file size of 200MB. The dataset is suitable for robot learning and control tasks, such as imitation learning or reinforcement learning.