FOO1

这是一个使用LeRobot创建的机器人数据集，专为机器人学习任务设计。数据集包含一个完整的机器人操作回合，总计77帧数据，以10fps的速率采集。数据特征包括：机器人状态观测（8维浮点向量，表示位置x、y、z，四元数姿态qx、qy、qz、qw，以及夹爪状态grip）、动作指令（7维浮点向量，表示位移dx、dy、dz，旋转dRx、dRy、dRz，以及夹爪控制dGrip）、单目图像观测（1024x1280分辨率的RGB视频，3通道）、时间戳、帧索引、回合索引、任务索引等。数据以parquet文件格式存储，视频为mp4格式，总数据量约300MB（数据文件100MB，视频文件200MB）。数据集适用于机器人控制、模仿学习或强化学习等研究。

This is a robot dataset created using LeRobot, specifically designed for robot learning tasks. The dataset includes a complete robot operation episode, totaling 77 frames of data collected at a rate of 10fps. Data features include: robot state observations (an 8-dimensional floating-point vector representing position x, y, z, quaternion attitude qx, qy, qz, qw, and gripper state grip), action commands (a 7-dimensional floating-point vector representing displacement dx, dy, dz, rotation dRx, dRy, dRz, and gripper control dGrip), monocular image observations (RGB video with a resolution of 1024x1280, 3 channels), timestamps, frame indices, episode indices, task indices, etc. The data is stored in parquet file format, with videos in mp4 format, and the total data volume is approximately 300MB (100MB for data files and 200MB for video files). The dataset is suitable for research in robot control, imitation learning, or reinforcement learning.