blue_tube_v3_dualcam

该数据集是一个机器人交互数据集，使用LeRobot工具创建，专门用于机器人学习任务。数据集包含一个名为so_follower的机器人类型，总共有5个episodes和2995帧数据，帧率为30fps。数据以parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括：动作（action），表示机器人的6个关节位置（肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）；观测状态（observation.state），与动作相同的6维关节位置；观测图像（observation.images），包括前摄像头（front）和腕部摄像头（wrist）的视频数据，每个视频分辨率为480x640，3通道RGB格式，使用AV1编解码器。此外，还包含时间戳、帧索引、episode索引、任务索引等元数据。数据集适用于机器人控制、视觉导航和强化学习研究。This dataset is a robot interaction dataset created using the LeRobot tool, specifically designed for robot learning tasks. It includes a robot type named so_follower, with a total of 5 episodes and 2995 frames at a frame rate of 30fps. The data is stored in parquet file format, with a total data file size of 100MB and video file size of 200MB. Features of the dataset include: action, representing the robots 6 joint positions (shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position); observation.state, which are the same 6-dimensional joint positions as the action; observation.images, comprising video data from the front camera and wrist camera, each with a resolution of 480x640, 3-channel RGB format, using the AV1 codec. Additionally, it includes metadata such as timestamps, frame indices, episode indices, and task indices. The dataset is suitable for research in robot control, visual navigation, and reinforcement learning.