资源简介：
该数据集使用LeRobot创建，是一个机器人学领域的数据集，专门用于餐具排序任务。数据集包含1个完整的情节，总帧数为477，帧率为30fps。数据以Parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括：动作数据（8维浮点数组，表示7个关节位置和夹爪位置）、观察状态（与动作相同的8维浮点数组）、以及来自四个摄像头的图像观测（前视摄像头、前视深度摄像头、腕部摄像头、腕部深度摄像头），所有图像分辨率为720x1280，3通道，视频编码为AV1。数据集还包含时间戳、帧索引、情节索引等元数据。机器人类型为“openarm_follower”，数据集适用于训练和评估机器人控制算法。
This dataset is developed using LeRobot, and it is a robotics-focused dataset specifically intended for the dish sorting task. It contains 1 complete episode, with a total of 477 frames at a frame rate of 30 fps. The data is stored in Parquet format, with the total size of the main data files being 100 MB, and the video files totaling 200 MB. The dataset includes the following features: action data (an 8-dimensional floating-point array representing 7 joint positions and the gripper position), observation states (an 8-dimensional floating-point array consistent with the action data), and image observations from four cameras: the front-facing camera, front-facing depth camera, wrist camera, and wrist-mounted depth camera. All images have a resolution of 720x1280 with 3 color channels, and the video encoding format is AV1. Additionally, the dataset contains metadata such as timestamps, frame indices, and episode indices. The robot type used is 'openarm_follower', and this dataset is applicable for training and evaluating robot control algorithms.
