record-tube-2_cameras_20260601_185921

该数据集是一个基于LeRobot创建的机器人学习数据集，专门用于机器人控制与视觉感知研究。它包含机器人的动作和观测数据，其中动作数据涵盖6个自由度的关节位置，具体包括肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置。观测数据来自两个摄像头：前置摄像头和左侧摄像头，提供视频流，分辨率为480x640像素，3通道（RGB），帧率为30帧每秒。数据集还包括丰富的元数据，如时间戳、帧索引、episode索引和任务索引。总共有3个episodes，包含1794帧数据，涉及1个任务。数据以parquet格式存储，视频文件以mp4格式存储，机器人类型为so_follower。该数据集适用于机器人学习、控制算法开发和视觉感知任务的研究与应用。

This dataset is a robot learning dataset created using LeRobot, specifically designed for research in robot control and visual perception. It includes robot action and observation data, with action data covering 6 degrees of freedom in joint positions, specifically shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. Observation data comes from two cameras: a front camera and a left camera, providing video streams with a resolution of 480x640 pixels, 3 channels (RGB), and a frame rate of 30 frames per second. The dataset also includes rich metadata such as timestamps, frame indices, episode indices, and task indices. In total, there are 3 episodes containing 1794 frames of data, involving 1 task. The data is stored in parquet format, video files are stored in mp4 format, and the robot type is so_follower. This dataset is suitable for research and applications in robot learning, control algorithm development, and visual perception tasks.