cell1_20260520_laundry_folding_20260520_124224

这是一个用于机器人技术的数据集，专注于衣物折叠任务。数据集使用LeRobot框架创建，基于starpilot_yam_gripper机器人的操作数据。它包含2个episodes、1059帧和1个任务，数据以30fps的视频格式存储。数据结构包括：动作数据（14维浮点数组，表示两个机械臂的位姿和抓取宽度）、观测状态（32维浮点数组，涵盖编码器角度、IMU加速度和陀螺仪数据、位姿和抓取器状态），以及多个摄像头图像：左腕和右腕摄像头的RGB和深度视频（分辨率480x640），基座摄像头的RGB图像（分辨率480x640和768x1024）。该数据集适用于机器人学习任务，如模仿学习或强化学习，并以Apache 2.0许可证发布。

This is a dataset for robotics, focusing on cloth folding tasks. It is created using the LeRobot framework and contains operational data from the starpilot_yam_gripper robot. The dataset includes 2 episodes, 1059 frames, and 1 task, stored in video format at 30fps. The data structure comprises: action data (14-dimensional float arrays representing the poses and gripper widths of two arms), observation states (32-dimensional float arrays covering encoder angles, IMU accelerometer and gyroscope data, poses, and gripper states), and multiple camera images: RGB and depth videos from left and right wrist cameras (resolution 480x640), and RGB images from a base camera (resolutions 480x640 and 768x1024). This dataset is suitable for robotics learning tasks, such as imitation learning or reinforcement learning, and is released under the Apache 2.0 license.