cell1_20260520_laundry_folding_20260520_131823

这是一个使用LeRobot创建的机器人数据集，专门用于折叠衣物任务。数据集包含两个机械臂（starpilot_yam_gripper类型）的传感器数据、动作指令和多视角图像/视频数据。具体特征包括：14维的动作向量（控制机械臂位置、旋转和夹爪宽度）、32维的观测状态（编码器角度、IMU数据、位姿和夹爪状态），以及来自左腕、右腕和基座摄像头的RGB图像和深度图像（分辨率分别为480x640和768x1024）。数据集总共有2个episodes，2093帧，帧率为30fps，数据以parquet格式存储，视频以MP4格式存储。数据集仅包含训练集，适用于机器人学习和控制研究。This is a robot dataset created using LeRobot, specifically designed for the task of folding clothes. The dataset includes sensor data, action commands, and multi-view image/video data from two robotic arms (starpilot_yam_gripper type). Key features consist of: a 14-dimensional action vector (controlling arm position, rotation, and gripper width), a 32-dimensional observation state (encoder angles, IMU data, pose, and gripper status), and RGB and depth images from left wrist, right wrist, and base cameras (with resolutions of 480x640 and 768x1024 respectively). The dataset contains a total of 2 episodes, 2093 frames, with a frame rate of 30fps. Data is stored in parquet format, and videos are in MP4 format. It includes only a training set and is suitable for robotics learning and control research.