cell1_20260520_laundry_folding_20260520_125819

该数据集是一个用于机器人技术的数据集，专注于衣物折叠任务。它使用LeRobot工具创建，基于starpilot_yam_gripper机器人。数据集包含2个episodes和1376帧，涉及1个任务，数据以parquet文件和视频文件形式存储，总数据大小为100MB，视频文件大小为200MB，帧率为30fps。特征包括动作数据（如机械臂的x、y、z位置、旋转和抓取宽度）、观测状态数据（如编码器角度、IMU加速度和陀螺仪数据、姿态四元数、抓取器开合状态）以及来自多个摄像头的图像数据（包括左腕、右腕和基座摄像头的RGB图像和深度图像）。所有数据用于训练和评估机器人学习模型，支持机器人操作任务的研究。This dataset is designed for robotics, focusing on the task of clothing folding. It is created using the LeRobot tool and involves the starpilot_yam_gripper robot. The dataset consists of 2 episodes and 1376 frames, covering 1 task, with data stored in parquet files and video files. The total data size is 100MB, with video file size of 200MB and a frame rate of 30fps. Features include action data (such as robot arm x, y, z positions, rotation, and gripper width), observation state data (such as encoder angles, IMU acceleration and gyroscope data, pose quaternions, and gripper open/close status), and image data from multiple cameras (including RGB and depth images from left wrist, right wrist, and base cameras). All data is used for training and evaluating robot learning models, supporting research in robot manipulation tasks.