0725_1_20260725_135256
收藏资源简介：
该数据集是使用LeRobot代码库（版本v3.0）创建的机器人学习数据集，专为机器人控制任务设计。数据集包含30个剧集，总计15533帧，帧率为30fps。特征包括：动作数据（6个浮点值，表示机器人关节位置，如肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观测状态（与动作相同的6个关节位置）、观测图像（来自前视摄像头的视频数据，分辨率为480x640，RGB三通道，使用AV1编解码器，无音频）、时间戳、帧索引、剧集索引、索引和任务索引。数据以Parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。机器人类型为so_follower，数据集仅包含训练分割（覆盖所有30个剧集）。该数据集适用于机器人模仿学习、强化学习或视觉控制任务的研究和开发。
This dataset is a robot learning dataset created using the LeRobot codebase (version v3.0), specifically designed for robot control tasks. It contains 30 episodes, totaling 15533 frames at a frame rate of 30fps. Features include: action data (6 float values representing robot joint positions, such as shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position), observation state (the same 6 joint positions as actions), observation images (video data from a front-facing camera with a resolution of 480x640, RGB three-channel, using AV1 codec, no audio), timestamps, frame index, episode index, index, and task index. The data is stored in Parquet file format, with a total data file size of 100MB and video file size of 200MB. The robot type is so_follower, and the dataset only includes a training split (covering all 30 episodes). It is suitable for research and development in robot imitation learning, reinforcement learning, or visual control tasks.
