pick_and_place_ring

该数据集是一个基于LeRobot框架创建的机器人操作数据集，专门用于机器人技术任务。它包含20个完整的情节，总计4338帧数据，覆盖1个任务。数据以每秒25帧的速率采集，存储为Parquet格式文件，总数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括动作数据（如关节位置）、观测状态（如机器人关节位置）、来自顶部摄像头和手腕摄像头的图像观测（分辨率为480x640，3通道彩色视频），以及时间戳、帧索引、情节索引等元数据。机器人类型为so_follower，数据按块组织，每个块包含1000帧。该数据集适用于机器人学习、模仿学习或强化学习研究。

This dataset is a robot operation dataset created using the LeRobot framework, specifically designed for robotics tasks. It contains 20 complete episodes, totaling 4338 frames of data, covering 1 task. Data is collected at a rate of 25 frames per second, stored in Parquet format files, with a total data file size of 100MB and a video file size of 200MB. The dataset features action data (e.g., joint positions), observation states (e.g., robot joint positions), image observations from a top camera and a wrist camera (with a resolution of 480x640, 3-channel color video), and metadata such as timestamps, frame indices, and episode indices. The robot type is so_follower, and the data is organized in chunks, with each chunk containing 1000 frames. This dataset is suitable for robot learning, imitation learning, or reinforcement learning research.