cell1_20260524_mohamed-salah_grocery_bagging_cycle_20260524_100310

该数据集是使用LeRobot创建的机器人学数据集，专门用于机器人控制和学习任务。数据集包含5个完整的情节，总计1439帧数据，采样率为30帧每秒。它基于starpilot_yam_gripper机器人类型，涉及一个任务。数据结构包括动作特征（如机械臂位置、旋转和夹爪宽度）、观察状态特征（如编码器角度、IMU数据和姿态信息），以及多个摄像头图像（包括左腕、右腕和基座摄像头，提供RGB和深度视频流）。数据以Parquet格式存储，视频文件以MP4格式存储，总数据大小约为100MB，视频大小约为200MB。数据集适用于机器人模仿学习、强化学习或计算机视觉应用。This is a robotics dataset developed with LeRobot, specifically designed for robotic control and machine learning tasks. It contains 5 complete episodes, totaling 1439 frames at a sampling rate of 30 frames per second. Built on the starpilot_yam_gripper robotic platform, the dataset focuses on a single task. The data structure includes action features (e.g., robotic arm position, rotation, and gripper width), observation state features (e.g., encoder angles, IMU data, and pose information), as well as multi-camera imagery from left wrist, right wrist, and base cameras, which deliver both RGB and depth video streams. The tabular data is stored in Parquet format, while video files are saved in MP4 format. The total size of the dataset is approximately 100 MB, with the video files totaling around 200 MB. This dataset is suitable for robotic imitation learning, reinforcement learning, and computer vision applications.