SunkissTT/eval_act_pnp_red_cube

该数据集是使用LeRobot创建的机器人技术数据集，专门针对so_follower机器人类型。它包含1个任务和1个剧集，总计1555帧数据，以parquet文件格式存储，并附带mp4格式的视频文件。数据特征包括：动作数据（6维浮点数组，表示机器人关节位置，如肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观测状态（与动作相同的6维浮点数组）、两个相机图像观测（相机1和相机2，均为480x640分辨率、RGB三通道、30fps的视频数据），以及时间戳、帧索引、剧集索引、索引和任务索引等元数据。数据集主要用于机器人控制和学习任务，适用于动作和观测数据的分析。

This dataset was created using LeRobot and focuses on robotics, specifically for the so_follower robot type. It contains 1 task and 1 episode, with a total of 1555 frames, stored in parquet file format and accompanied by mp4 video files. The features include: action data (a 6-dimensional float32 array representing robot joint positions such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation state (a similar 6-dimensional float32 array), two camera image observations (camera1 and camera2, both with 480x640 resolution, RGB three channels, and 30fps video data), and metadata such as timestamp, frame index, episode index, index, and task index. The dataset is designed for robot control and learning tasks, suitable for analysis of action and observation data.