putBlueLegoAway

该数据集是一个机器人学数据集，使用LeRobot工具创建，专门用于机器人控制和学习任务。数据集包含34个总回合和24041个总帧，数据以parquet文件格式组织，并分为训练集（涵盖所有回合）。特征包括动作（6个浮点数表示关节位置，如肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置）、观察状态（同样包含6个关节位置浮点数），以及来自顶部和手腕摄像头的图像观察（视频格式，分辨率为720x1280，3通道，帧率为30fps，使用av1编解码器）。此外，还包括时间戳、帧索引、回合索引、索引和任务索引等元数据。机器人类型为so_follower，数据总大小约为300MB（其中数据文件100MB，视频文件200MB）。数据集适用于机器人动作模仿、状态估计和视觉控制等研究。

This is a robotics dataset created with the LeRobot toolkit, specifically tailored for robot control and learning tasks. It contains a total of 34 episodes and 24041 frames, organized in Parquet file format, and is split into a single training set that covers all episodes. The features include actions (6 floating-point numbers representing joint positions: shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position), observation states (also containing 6 floating-point joint position values), as well as image observations from the top and wrist cameras (in video format with a resolution of 720×1280, 3 channels, 30 frames per second (fps), encoded with the AV1 codec). Additionally, it includes metadata such as timestamps, frame indices, episode indices, sample indices, and task indices. The robot type is so_follower. The total size of the dataset is approximately 300 MB, with 100 MB being data files and 200 MB being video files. This dataset is suitable for research in robot imitation learning, state estimation, visual control, and other related robotics domains.