资源简介：
该数据集是一个使用LeRobot创建的机器人学习数据集，专门用于机器人控制任务。它包含20个episodes，总计35990帧，数据以30 fps的帧率采集。特征包括机器人的动作（如肩部、肘部、手腕和夹爪的位置）、观察状态（与动作相同的关节位置）、来自前置摄像头的图像观察（分辨率为480x640的RGB视频），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文件格式存储，视频文件以mp4格式存储。机器人类型为“so_follower”，数据集适用于训练和评估机器人控制模型，任务类别为机器人学。
This dataset is a robot learning dataset created using LeRobot, specifically designed for robot control tasks. It contains 20 episodes, totaling 35,990 frames, collected at a frame rate of 30 fps. Features include robot actions (such as positions of the shoulder, elbow, wrist, and gripper), observation states (joint positions identical to the actions), image observations from a front-facing camera (RGB video with a resolution of 480x640), as well as metadata like timestamps, frame indices, episode indices, indices, and task indices. The data is stored in parquet file format, with video files in mp4 format. The robot type is so_follower, and the dataset is suitable for training and evaluating robot control models, with the task category being robotics.
