blue_cube_in_mug_dual_cam_1_20260724_121829

该数据集是通过LeRobot创建的机器人学数据集，用于机器人控制任务。数据集包含50个episodes，共22087帧数据，帧率为30fps。特征包括：动作数据（6个关节位置：肩部平移、肩部升降、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）、观测状态（与动作相同的6个关节位置）、观测图像（顶部和手腕摄像头的视频，分辨率480x640，3通道RGB，无深度信息，编码为av1格式），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。数据以parquet文件存储，视频文件为mp4格式，总数据文件大小为100MB，视频文件大小为200MB。机器人类型为so_follower，任务涉及单任务场景。数据集适用于机器人模仿学习或强化学习研究。This dataset is a robotics dataset created via LeRobot for robot control tasks. It contains 50 episodes with a total of 22,087 frames at a frame rate of 30fps. Features include: action data (6 joint positions: shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position), observation states (same 6 joint positions as actions), observation images (videos from top and wrist cameras, resolution 480x640, 3-channel RGB, no depth information, encoded in av1 format), and metadata such as timestamps, frame index, episode index, index, and task index. Data is stored in parquet files, with video files in mp4 format; the total data file size is 100MB, and video file size is 200MB. The robot type is so_follower, and the task involves a single-task scenario. The dataset is suitable for robot imitation learning or reinforcement learning research.