rollout_vla_jepa_so101_pick_toy_v9_2_plate_20260701_182010

该数据集是一个机器人学数据集，使用LeRobot创建，专注于机器人动作和观测数据的收集。数据集包含一个episode，共1596帧，涉及单个任务。数据特征包括：动作数据（6个关节位置：肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转、夹爪位置）；观测状态数据（与动作相同的6个关节位置）；两个外部摄像头图像（exterior_1_left和exterior_2_left），以视频格式存储，分辨率480x640，15fps，彩色三通道；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（用于结构化数据）和mp4视频文件（用于图像数据）格式组织，总数据大小约300MB（其中数据文件100MB，视频文件200MB）。机器人类型为so_follower。数据集适用于机器人控制、视觉感知和强化学习等研究。

This dataset is a robotics dataset created using LeRobot, focusing on the collection of robot actions and observation data. It contains one episode with 1596 frames, involving a single task. Data features include: action data (6 joint positions: shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, gripper position); observation state data (the same 6 joint positions as actions); two external camera images (exterior_1_left and exterior_2_left), stored in video format with a resolution of 480x640, 15fps, and three color channels; and metadata such as timestamps, frame index, episode index, index, and task index. The data is organized in parquet files (for structured data) and mp4 video files (for image data), with a total size of approximately 300MB (100MB for data files and 200MB for video files). The robot type is so_follower. The dataset is suitable for research in robot control, visual perception, and reinforcement learning.