cell1_20260524_mohamed-salah_grocery_bagging_cycle_20260524_101034

该数据集使用LeRobot创建，专注于机器人技术任务，特别是针对starpilot_yam_gripper机器人类型。数据集包含5个episodes、1771帧和1个任务，数据以parquet和视频文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。特征包括动作（如机械臂的位置、旋转和抓取宽度）、观察状态（如编码器角度、IMU加速度和陀螺仪数据、姿态和抓取器状态）以及来自多个摄像头的图像和深度图像（包括左腕、右腕和基础摄像头，分辨率分别为480x640和768x1024），所有视频帧率为30fps。数据集用于训练和评估机器人控制算法，涵盖机械臂操作和视觉感知任务。

This dataset was developed using LeRobot, focusing on robotics tasks, specifically for the 'starpilot_yam_gripper' robot model. The dataset contains 5 episodes, 1771 frames, and 1 task. The data is stored in Parquet and video file formats, with a total data file size of 100 MB, and the video files have a size of 200 MB. Its features include actions (such as the position, rotation, and gripper width of the robotic arm), observation states (such as encoder angles, IMU acceleration and gyroscopic data, pose and gripper status), as well as images and depth images from multiple cameras (including left wrist, right wrist, and base cameras, with resolutions of 480x640 and 768x1024 respectively). All videos have a frame rate of 30 fps. This dataset is used for training and evaluating robotic control algorithms, covering robotic arm manipulation and visual perception tasks.