Rick0331/openarm_tablewares_sort13

该数据集使用LeRobot创建，专为机器人学习设计。它包含来自openarm_follower机器人的数据，总共有41个训练集，共32529帧，帧率为30fps。数据集结构包括动作特征（24维浮点数组，表示7个关节和夹爪的位置、速度和扭矩）、观测状态特征（同样24维浮点数组，与动作特征对应）、图像观测特征（来自前视和腕部摄像头的视频，分辨率为720x1280，3通道，编码为av1），以及其他元数据如时间戳、帧索引、集索引等。数据以Parquet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。数据集用于单一任务，适用于机器人控制和学习应用。This dataset was created using LeRobot and is designed for robotics learning. It contains data from the openarm_follower robot, with a total of 41 training episodes and 32,529 frames at 30 fps. The dataset structure includes action features (a 24-dimensional float32 array representing position, velocity, and torque for 7 joints and a gripper), observation state features (a similar 24-dimensional float32 array corresponding to the action features), image observation features (videos from front and wrist cameras with a resolution of 720x1280, 3 channels, encoded as av1), and other metadata such as timestamp, frame index, episode index, etc. The data is stored in Parquet format, videos in MP4 format, with a total data file size of 100MB and video file size of 200MB. The dataset is intended for a single task and is suitable for robotics control and learning applications.