KS325/close-lower-drawer-r2-emp-train

该数据集是一个机器人学习数据集，使用LeRobot工具创建，专门用于机器人控制任务。数据集包含14个完整的情节（episodes），总计10239帧数据，帧率为30fps。数据集中仅包含一个任务。数据以parquet文件格式存储，总大小为100MB，视频文件大小为200MB。数据集的特征包括动作（action）和观察（observation），其中动作由6个浮点数值组成，分别对应机器人的肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置。观察部分包括机器人的状态（同样为6个浮点数值）以及来自两个摄像头（camera1和camera2）的图像数据，每个摄像头的图像分辨率为480x640，3通道彩色视频。此外，数据集还包含时间戳、帧索引、情节索引、索引和任务索引等信息。机器人类型为“so_follower”。数据集采用Apache 2.0许可证。

This dataset is a robotics learning dataset created using the LeRobot tool, specifically designed for robot control tasks. It contains 14 complete episodes, totaling 10239 frames at a frame rate of 30fps. The dataset includes only one task. Data is stored in parquet format, with a total size of 100MB for data files and 200MB for video files. The features of the dataset include action and observation, where the action consists of 6 floating-point values corresponding to the robots shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions. The observation includes the robots state (also 6 floating-point values) and image data from two cameras (camera1 and camera2), each with a resolution of 480x640 and 3-channel color video. Additionally, the dataset contains information such as timestamp, frame index, episode index, index, and task index. The robot type is so_follower. The dataset is licensed under Apache 2.0.