siddpr/clean_lidar_20260523_191037

该数据集是一个机器人学数据集，使用LeRobot平台创建。它包含117个episodes，总计98122帧数据，采集帧率为30fps。数据特征包括机器人的动作（6个关节位置：肩部平移、肩部抬升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）、观察状态（同样的6个关节位置）、以及两个摄像头的视频观察：手腕摄像头（wrist）和RealSense摄像头（realsense），均为480x640分辨率的RGB视频（3通道）。此外，还包含时间戳、帧索引、episode索引、索引和任务索引等元数据。机器人类型为so_follower。数据集以parquet文件（数据）和mp4文件（视频）格式存储，总数据大小约为100MB，视频文件大小约为200MB。数据用于训练和评估机器人控制模型，支持模仿学习或强化学习任务。This dataset is a robotics dataset created using the LeRobot platform. It contains 117 episodes with a total of 98,122 frames, collected at 30 fps. The features include robot actions (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation states (the same 6 joint positions), and video observations from two cameras: wrist camera and RealSense camera, both with 480x640 resolution RGB video (3 channels). Additionally, it includes metadata such as timestamp, frame index, episode index, index, and task index. The robot type is so_follower. The dataset is stored in parquet files (data) and mp4 files (videos), with a total data size of approximately 100 MB and video file size of approximately 200 MB. The data is intended for training and evaluating robot control models, supporting tasks like imitation learning or reinforcement learning.