cell1_20260520_laundry_folding_20260520_135044

该数据集是使用LeRobot创建的机器人操作数据集，专注于laundry folding（折叠衣物）任务。数据集包含starpilot_yam_gripper机器人的操作数据，总共有2个episodes和1662帧，帧率为30fps。数据特征包括：14维的动作向量（控制两个机械臂的位置、旋转和夹爪宽度）、32维的观测状态（包括编码器角度、IMU数据和姿态信息）、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，提供RGB图像和深度图像，分辨率分别为480x640和768x1024）。此外，还包含时间戳、帧索引、episode索引等元数据。数据以parquet文件格式存储，适用于机器人学习和模仿学习研究。This dataset is a robot manipulation dataset created using LeRobot, focusing on the laundry folding task. It contains operational data from the starpilot_yam_gripper robot, with a total of 2 episodes and 1662 frames at a frame rate of 30fps. Data features include: a 14-dimensional action vector (controlling the position, rotation, and gripper width of two robotic arms), a 32-dimensional observation state (including encoder angles, IMU data, and pose information), and image data from multiple cameras (including left wrist, right wrist, and base cameras, providing RGB and depth images with resolutions of 480x640 and 768x1024 respectively). Additionally, it contains metadata such as timestamps, frame indices, and episode indices. The data is stored in parquet file format and is suitable for robotics learning and imitation learning research.