so101_persepsi_robot

该数据集是一个机器人数据集，使用LeRobot创建。它包含61个episodes和36498帧数据，用于训练任务。数据集的特征包括动作（如肩部平移、肩部提升、肘部弯曲等6个关节位置）、观测状态（与动作相同的关节位置）、观测图像（来自手腕和前置摄像头的视频，分辨率为480x640，30fps），以及时间戳、帧索引、episode索引、任务索引等元数据。机器人类型为so_follower，数据以Parquet文件格式存储，视频以MP4格式存储，总数据大小约为300MB（数据100MB，视频200MB）。

This dataset is a robotics dataset created using LeRobot. It contains 61 episodes and 36498 frames of data for training tasks. The dataset features include actions (such as 6 joint positions like shoulder translation, shoulder elevation, elbow flexion, etc.), observation states (joint positions identical to actions), observation images (videos from wrist and front cameras with a resolution of 480x640 at 30fps), and metadata such as timestamps, frame indices, episode indices, and task indices. The robot type is so_follower, with data stored in Parquet file format and videos in MP4 format, with a total data size of approximately 300MB (100MB for data and 200MB for videos).