so101_airbag_bluebox_v1_20260512_123608

该数据集是一个用于机器人学习的机器人控制数据集，使用LeRobot工具创建。它包含3个episodes，总计1145帧数据，帧率为30 fps。数据集特征包括动作（action）和观测（observation），其中动作和观测状态都包含6个浮点型关节位置，具体涉及肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置。观测部分还包括来自头部和腕部摄像头的图像数据，每个图像分辨率为480x640像素，3个通道，视频编码为av1，无音频。此外，数据集包含时间戳、帧索引、episode索引、任务索引等元数据。机器人类型为“so_follower”，数据以parquet文件格式存储，视频文件以mp4格式存储，适用于机器人控制、视觉导航等任务。

This dataset is a robot learning dataset created using the LeRobot tool. It contains 3 episodes with a total of 1145 frames at a frame rate of 30 fps. The dataset features include action and observation, where both action and observation states consist of 6 floating-point joint positions (such as shoulder translation, shoulder lift, elbow bend, wrist bend, wrist roll, and gripper position). Observations also include image data from head and wrist cameras, with each image having a resolution of 480x640 pixels, 3 channels, video encoding in av1, and no audio. Additionally, the dataset includes metadata such as timestamps, frame index, episode index, and task index. The robot type is so_follower, data is stored in parquet file format, and video files are stored in mp4 format. The dataset is suitable for tasks like robot control and visual navigation.