资源简介：
该数据集是一个使用LeRobot工具创建的机器人学数据集，专为机器人控制任务设计。它包含5个完整的情节，总计3767帧数据，覆盖1个任务。数据以30帧每秒的速率采集，总数据文件大小为100MB，视频文件大小为200MB。数据集结构为训练分割（0:5）。特征包括：动作和观测状态均为6维浮点数组，对应机器人关节位置（肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹持器位置）；观测图像为侧视视频，分辨率为480x640，3通道彩色，使用AV1编解码器。此外，还包括时间戳、帧索引、情节索引、索引和任务索引等元数据。该数据集适用于机器人学习研究，特别是基于视觉和状态的控制任务。
This dataset is a robotics dataset created using the LeRobot tool, specifically designed for robot control tasks. It contains 5 complete episodes, totaling 3767 frames of data, covering 1 task. The data is collected at a rate of 30 frames per second, with a total data file size of 100MB and a video file size of 200MB. The dataset structure includes a training split (0:5). Features include: actions and observation states are both 6-dimensional floating-point arrays corresponding to robot joint positions (shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position); observation images are side-view videos with a resolution of 480x640, 3-channel color, using the AV1 codec. Additionally, metadata such as timestamps, frame index, episode index, index, and task index are included. The dataset is suitable for robotics learning research, particularly for vision- and state-based control tasks.
