plate_in_bin_20250821

这是一个机器人控制数据集，使用LeRobot框架和ALOHA双手机器人系统收集。数据集包含21个训练episodes，总计13887帧数据，帧率为30fps。数据特征包括机器人左右臂的18维关节状态和动作、10维末端执行器位姿、来自Azure Kinect相机的深度和彩色图像（720×1280分辨率）、手腕相机图像以及时间戳和索引信息。数据集主要用于机器人学习和模仿学习任务。

This is a robotic control dataset collected using the LeRobot framework and the ALOHA dual-arm robot system. The dataset contains 21 training episodes, totaling 13,887 frames with a frame rate of 30 fps. The data features include 18-dimensional joint states and actions of the robot's left and right arms, 10-dimensional end-effector poses, depth and color images (720×1280 resolution) from the Azure Kinect camera, wrist camera images, as well as timestamp and index information. This dataset is primarily intended for robotic learning and imitation learning tasks.