0725_1_20260725_132318

该数据集是由LeRobot创建的机器人学数据集，用于机器人控制和学习任务。数据集包含动作、观测状态和前端摄像头图像等特征，动作和观测状态均包括6个关节位置：肩部旋转、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置。图像数据为视频格式，分辨率为480x640，3通道，帧率30fps，使用av1编码。数据集总共有6个回合、5387帧和1个任务，以parquet文件格式存储，机器人类型为so_follower。数据集适用于训练和评估机器人策略模型。This robotics dataset was developed by LeRobot, designed for robot control and machine learning tasks. It includes features such as actions, observation states, and front-facing camera images. Both actions and observation states cover 6 joint positions: shoulder rotation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. The image data is in video format, with a resolution of 480×640, 3 color channels, a frame rate of 30 fps, and encoded using the AV1 codec. The dataset contains 6 episodes, 5387 total frames, and 1 single task, stored in Parquet file format, and the robot type is so_follower. This dataset is suitable for training and evaluating robotic policy models.