cell1_20260520_laundry_folding_20260520_132346

该数据集是一个机器人学数据集，专为洗衣折叠任务设计，使用LeRobot工具创建。它包含2个总剧集、1664个总帧和1个总任务。数据以parquet格式存储，视频文件大小为200MB，数据文件大小为100MB，帧率为30fps。数据集结构包括：动作特征（14维浮点动作，涵盖位置、旋转和抓取宽度）、观察状态特征（32维浮点状态，包括编码器角度、IMU加速度和陀螺仪数据、姿态和抓取器状态）以及多个图像观察特征（来自左腕、右腕和基座摄像头的RGB图像及深度图像，分辨率分别为480x640和768x1024）。所有数据按训练分割组织，适用于机器人控制和学习任务。

This is a robotics dataset developed using the LeRobot toolkit, specifically tailored for laundry folding tasks. It contains a total of 2 episodes, 1664 frames, and 1 single task. The dataset is stored in Parquet format, with a total video file size of 200 MB and total data file size of 100 MB, and has a frame rate of 30 fps. The dataset structure includes action features (e.g., 14-dimensional floating-point robotic arm actions covering position, rotation, and gripper width), observation state features (e.g., 32-dimensional floating-point states including encoder angles, IMU acceleration and gyroscope data, end-effector pose, and gripper status), as well as multiple image observation features: RGB and depth images captured by the left wrist, right wrist, and base-mounted cameras, with resolutions of 480x640 and 768x1024 respectively. All data is organized under the training split, and is suitable for robotic control and learning tasks.